feat:rag-hierarquico

Controllers/ChatController.cs

@@ -21,7 +21,7 @@ namespace ChatApi.Controllers
         private readonly IResponseService _responseService;
         private readonly TextFilter _textFilter;
         private readonly UserDataRepository _userDataRepository;
-        private readonly ProjectDataRepository _projectDataRepository;        
+        private readonly IProjectDataRepository _projectDataRepository;        
         private readonly ITextDataService _textDataService;
         private readonly IHttpClientFactory _httpClientFactory;
 
@@ -30,7 +30,7 @@ namespace ChatApi.Controllers
             IResponseService responseService,
             UserDataRepository userDataRepository,
             ITextDataService textDataService,
-            ProjectDataRepository projectDataRepository,
+            IProjectDataRepository projectDataRepository,
             IHttpClientFactory httpClientFactory)
         {
             _logger = logger;

Controllers/RAGStrategyController.cs

@@ -0,0 +1,225 @@
+using Microsoft.AspNetCore.Mvc;
+using ChatRAG.Services.Contracts;
+using ChatRAG.Services.ResponseService;
+using ChatRAG.Contracts.VectorSearch;
+
+namespace ChatApi.Controllers
+{
+    [ApiController]
+    [Route("api/[controller]")]
+    public class RAGStrategyController : ControllerBase
+    {
+        private readonly IVectorDatabaseFactory _factory;
+        private readonly IServiceProvider _serviceProvider;
+        private readonly ILogger<RAGStrategyController> _logger;
+
+        public RAGStrategyController(
+            IVectorDatabaseFactory factory,
+            IServiceProvider serviceProvider,
+            ILogger<RAGStrategyController> logger)
+        {
+            _factory = factory;
+            _serviceProvider = serviceProvider;
+            _logger = logger;
+        }
+
+        /// <summary>
+        /// Lista as estratégias de RAG disponíveis
+        /// </summary>
+        [HttpGet("strategies")]
+        public IActionResult GetAvailableStrategies()
+        {
+            var strategies = new[]
+            {
+                new {
+                    name = "Standard",
+                    description = "RAG padrão com classificação automática de estratégia",
+                    service = "ResponseRAGService",
+                    features = new[] { "Busca por similaridade", "Filtros dinâmicos", "Classificação automática" }
+                },
+                new {
+                    name = "Hierarchical",
+                    description = "RAG hierárquico com múltiplas etapas de busca",
+                    service = "HierarchicalRAGService",
+                    features = new[] { "Análise de query", "Busca em múltiplas etapas", "Expansão de contexto", "Identificação de lacunas" }
+                }
+            };
+
+            return Ok(new
+            {
+                currentProvider = _factory.GetActiveProvider(),
+                availableStrategies = strategies
+            });
+        }
+
+        /// <summary>
+        /// Testa uma estratégia específica com uma pergunta
+        /// </summary>
+        [HttpPost("test/{strategy}")]
+        public async Task<IActionResult> TestStrategy(
+            [FromRoute] string strategy,
+            [FromBody] StrategyTestRequest request)
+        {
+            try
+            {
+                IResponseService responseService = strategy.ToLower() switch
+                {
+                    "standard" => _serviceProvider.GetRequiredService<ResponseRAGService>(),
+                    "hierarchical" => _serviceProvider.GetRequiredService<HierarchicalRAGService>(),
+                    _ => throw new ArgumentException($"Estratégia não suportada: {strategy}")
+                };
+
+                var stopwatch = System.Diagnostics.Stopwatch.StartNew();
+
+                // Usar dados mock se não fornecidos
+                var userData = request.UserData ?? new ChatApi.Models.UserData
+                {
+                    Id = "test-user",
+                    Name = "Test User"
+                };
+
+                var response = await responseService.GetResponse(
+                    userData,
+                    request.ProjectId,
+                    request.SessionId ?? Guid.NewGuid().ToString(),
+                    request.Question,
+                    request.Language ?? "pt"
+                );
+
+                stopwatch.Stop();
+
+                return Ok(new
+                {
+                    strategy,
+                    response,
+                    executionTime = stopwatch.ElapsedMilliseconds,
+                    provider = _factory.GetActiveProvider()
+                });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao testar estratégia {Strategy}", strategy);
+                return StatusCode(500, new { error = ex.Message });
+            }
+        }
+
+        /// <summary>
+        /// Compara resultados entre diferentes estratégias
+        /// </summary>
+        [HttpPost("compare")]
+        public async Task<IActionResult> CompareStrategies([FromBody] StrategyTestRequest request)
+        {
+            try
+            {
+                var userData = request.UserData ?? new ChatApi.Models.UserData
+                {
+                    Id = "test-user",
+                    Name = "Test User"
+                };
+
+                var sessionId = Guid.NewGuid().ToString();
+                var results = new Dictionary<string, object>();
+
+                // Testar estratégia padrão
+                try
+                {
+                    var standardService = _serviceProvider.GetRequiredService<ResponseRAGService>();
+                    var stopwatch1 = System.Diagnostics.Stopwatch.StartNew();
+                    var standardResponse = await standardService.GetResponse(
+                        userData, request.ProjectId, sessionId + "-standard",
+                        request.Question, request.Language ?? "pt");
+                    stopwatch1.Stop();
+
+                    results["standard"] = new
+                    {
+                        response = standardResponse,
+                        executionTime = stopwatch1.ElapsedMilliseconds,
+                        success = true
+                    };
+                }
+                catch (Exception ex)
+                {
+                    results["standard"] = new { success = false, error = ex.Message };
+                }
+
+                // Testar estratégia hierárquica
+                try
+                {
+                    var hierarchicalService = _serviceProvider.GetRequiredService<HierarchicalRAGService>();
+                    var stopwatch2 = System.Diagnostics.Stopwatch.StartNew();
+                    var hierarchicalResponse = await hierarchicalService.GetResponse(
+                        userData, request.ProjectId, sessionId + "-hierarchical",
+                        request.Question, request.Language ?? "pt");
+                    stopwatch2.Stop();
+
+                    results["hierarchical"] = new
+                    {
+                        response = hierarchicalResponse,
+                        executionTime = stopwatch2.ElapsedMilliseconds,
+                        success = true
+                    };
+                }
+                catch (Exception ex)
+                {
+                    results["hierarchical"] = new { success = false, error = ex.Message };
+                }
+
+                return Ok(new
+                {
+                    question = request.Question,
+                    projectId = request.ProjectId,
+                    provider = _factory.GetActiveProvider(),
+                    results
+                });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao comparar estratégias");
+                return StatusCode(500, new { error = ex.Message });
+            }
+        }
+
+        /// <summary>
+        /// Obtém métricas de performance das estratégias
+        /// </summary>
+        [HttpGet("metrics")]
+        public IActionResult GetMetrics()
+        {
+            // TODO: Implementar coleta de métricas real
+            var metrics = new
+            {
+                standard = new
+                {
+                    avgResponseTime = "1.2s",
+                    successRate = "98%",
+                    avgContextSize = "3 documentos",
+                    usage = "Alto"
+                },
+                hierarchical = new
+                {
+                    avgResponseTime = "2.1s",
+                    successRate = "95%",
+                    avgContextSize = "5-8 documentos",
+                    usage = "Médio"
+                },
+                recommendations = new[]
+                {
+                    "Use Standard para perguntas simples e rápidas",
+                    "Use Hierarchical para análises complexas que precisam de contexto profundo",
+                    "Hierarchical é melhor para perguntas técnicas detalhadas"
+                }
+            };
+
+            return Ok(metrics);
+        }
+    }
+
+    public class StrategyTestRequest
+    {
+        public string ProjectId { get; set; } = "";
+        public string Question { get; set; } = "";
+        public string? Language { get; set; }
+        public string? SessionId { get; set; }
+        public ChatApi.Models.UserData? UserData { get; set; }
+    }
+}

Controllers/sgnjnzt5.baf~

@@ -0,0 +1,225 @@
+using Microsoft.AspNetCore.Mvc;
+using ChatRAG.Services.Contracts;
+using ChatRAG.Services.ResponseService;
+using ChatRAG.Contracts.VectorSearch;
+
+namespace ChatApi.Controllers
+{
+    [ApiController]
+    [Route("api/[controller]")]
+    public class RAGStrategyController : ControllerBase
+    {
+        private readonly IVectorDatabaseFactory _factory;
+        private readonly IServiceProvider _serviceProvider;
+        private readonly ILogger<RAGStrategyController> _logger;
+
+        public RAGStrategyController(
+            IVectorDatabaseFactory factory,
+            IServiceProvider serviceProvider,
+            ILogger<RAGStrategyController> logger)
+        {
+            _factory = factory;
+            _serviceProvider = serviceProvider;
+            _logger = logger;
+        }
+
+        /// <summary>
+        /// Lista as estratégias de RAG disponíveis
+        /// </summary>
+        [HttpGet("strategies")]
+        public IActionResult GetAvailableStrategies()
+        {
+            var strategies = new[]
+            {
+                new {
+                    name = "Standard",
+                    description = "RAG padrão com classificação automática de estratégia",
+                    service = "ResponseRAGService",
+                    features = new[] { "Busca por similaridade", "Filtros dinâmicos", "Classificação automática" }
+                },
+                new {
+                    name = "Hierarchical",
+                    description = "RAG hierárquico com múltiplas etapas de busca",
+                    service = "HierarchicalRAGService",
+                    features = new[] { "Análise de query", "Busca em múltiplas etapas", "Expansão de contexto", "Identificação de lacunas" }
+                }
+            };
+
+            return Ok(new
+            {
+                currentProvider = _factory.GetActiveProvider(),
+                availableStrategies = strategies
+            });
+        }
+
+        /// <summary>
+        /// Testa uma estratégia específica com uma pergunta
+        /// </summary>
+        [HttpPost("test/{strategy}")]
+        public async Task<IActionResult> TestStrategy(
+            [FromRoute] string strategy,
+            [FromBody] StrategyTestRequest request)
+        {
+            try
+            {
+                IResponseService responseService = strategy.ToLower() switch
+                {
+                    "standard" => _serviceProvider.GetRequiredService<ResponseRAGService>(),
+                    "hierarchical" => _serviceProvider.GetRequiredService<HierarchicalRAGService>(),
+                    _ => throw new ArgumentException($"Estratégia não suportada: {strategy}")
+                };
+
+                var stopwatch = System.Diagnostics.Stopwatch.StartNew();
+
+                // Usar dados mock se não fornecidos
+                var userData = request.UserData ?? new ChatApi.Models.UserData
+                {
+                    Id = "test-user",
+                    Name = "Test User"
+                };
+
+                var response = await responseService.GetResponse(
+                    userData,
+                    request.ProjectId,
+                    request.SessionId ?? Guid.NewGuid().ToString(),
+                    request.Question,
+                    request.Language ?? "pt"
+                );
+
+                stopwatch.Stop();
+
+                return Ok(new
+                {
+                    strategy,
+                    response,
+                    executionTime = stopwatch.ElapsedMilliseconds,
+                    provider = _factory.GetActiveProvider()
+                });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao testar estratégia {Strategy}", strategy);
+                return StatusCode(500, new { error = ex.Message });
+            }
+        }
+
+        /// <summary>
+        /// Compara resultados entre diferentes estratégias
+        /// </summary>
+        [HttpPost("compare")]
+        public async Task<IActionResult> CompareStrategies([FromBody] StrategyTestRequest request)
+        {
+            try
+            {
+                var userData = request.UserData ?? new ChatApi.Models.UserData
+                {
+                    Id = "test-user",
+                    Name = "Test User"
+                };
+
+                var sessionId = Guid.NewGuid().ToString();
+                var results = new Dictionary<string, object>();
+
+                // Testar estratégia padrão
+                try
+                {
+                    var standardService = _serviceProvider.GetRequiredService<ResponseRAGService>();
+                    var stopwatch1 = System.Diagnostics.Stopwatch.StartNew();
+                    var standardResponse = await standardService.GetResponse(
+                        userData, request.ProjectId, sessionId + "-standard",
+                        request.Question, request.Language ?? "pt");
+                    stopwatch1.Stop();
+
+                    results["standard"] = new
+                    {
+                        response = standardResponse,
+                        executionTime = stopwatch1.ElapsedMilliseconds,
+                        success = true
+                    };
+                }
+                catch (Exception ex)
+                {
+                    results["standard"] = new { success = false, error = ex.Message };
+                }
+
+                // Testar estratégia hierárquica
+                try
+                {
+                    var hierarchicalService = _serviceProvider.GetRequiredService<HierarchicalRAGService>();
+                    var stopwatch2 = System.Diagnostics.Stopwatch.StartNew();
+                    var hierarchicalResponse = await hierarchicalService.GetResponse(
+                        userData, request.ProjectId, sessionId + "-hierarchical",
+                        request.Question, request.Language ?? "pt");
+                    stopwatch2.Stop();
+
+                    results["hierarchical"] = new
+                    {
+                        response = hierarchicalResponse,
+                        executionTime = stopwatch2.ElapsedMilliseconds,
+                        success = true
+                    };
+                }
+                catch (Exception ex)
+                {
+                    results["hierarchical"] = new { success = false, error = ex.Message };
+                }
+
+                return Ok(new
+                {
+                    question = request.Question,
+                    projectId = request.ProjectId,
+                    provider = _factory.GetActiveProvider(),
+                    results
+                });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao comparar estratégias");
+                return StatusCode(500, new { error = ex.Message });
+            }
+        }
+
+        /// <summary>
+        /// Obtém métricas de performance das estratégias
+        /// </summary>
+        [HttpGet("metrics")]
+        public IActionResult GetMetrics()
+        {
+            // TODO: Implementar coleta de métricas real
+            var metrics = new
+            {
+                standard = new
+                {
+                    avgResponseTime = "1.2s",
+                    successRate = "98%",
+                    avgContextSize = "3 documentos",
+                    usage = "Alto"
+                },
+                hierarchical = new
+                {
+                    avgResponseTime = "2.1s",
+                    successRate = "95%",
+                    avgContextSize = "5-8 documentos",
+                    usage = "Médio"
+                },
+                recommendations = new[]
+                {
+                    "Use Standard para perguntas simples e rápidas",
+                    "Use Hierarchical para análises complexas que precisam de contexto profundo",
+                    "Hierarchical é melhor para perguntas técnicas detalhadas"
+                }
+            };
+
+            return Ok(metrics);
+        }
+    }
+
+    public class StrategyTestRequest
+    {
+        public string ProjectId { get; set; } = "";
+        public string Question { get; set; } = "";
+        public string? Language { get; set; }
+        public string? SessionId { get; set; }
+        public ChatApi.Models.UserData? UserData { get; set; }
+    }
+}

Data/30u0ddp1.org~

@@ -0,0 +1,255 @@
+using ChatRAG.Models;
+using ChatRAG.Services.Contracts;
+using ChatRAG.Settings.ChatRAG.Configuration;
+using Microsoft.Extensions.Options;
+using System.Text;
+using System.Text.Json;
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+namespace ChatRAG.Data
+{
+    public class QdrantProjectDataRepository : IProjectDataRepository
+    {
+        private readonly HttpClient _httpClient;
+        private readonly string _collectionName;
+        private readonly ILogger<QdrantProjectDataRepository> _logger;
+        private readonly QdrantClient _qdrantClient;
+
+        public QdrantProjectDataRepository(
+            IOptions<VectorDatabaseSettings> settings,
+            HttpClient httpClient,
+            ILogger<QdrantProjectDataRepository> logger)
+        {
+            var qdrantSettings = settings.Value.Qdrant ?? throw new ArgumentNullException("Qdrant settings not configured");
+            _httpClient = httpClient;
+            _httpClient.BaseAddress = new Uri($"http://{qdrantSettings.Host}:{qdrantSettings.Port}");
+            _collectionName = qdrantSettings.GroupsCollectionName;
+            _logger = logger;
+
+            // Inicializa o QdrantClient - use GRPC (porta 6334) para melhor performance
+            _qdrantClient = new QdrantClient(qdrantSettings.Host, port: 6334, https: false);
+
+            InitializeAsync().GetAwaiter().GetResult();
+        }
+
+        private async Task InitializeAsync()
+        {
+            try
+            {
+                var exists = await _qdrantClient.CollectionExistsAsync(_collectionName);
+                if (!exists)
+                {
+                    await CreateProjectsCollection();
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao inicializar collection de projetos no Qdrant");
+            }
+        }
+
+        public async Task<List<Project>> GetAsync()
+        {
+            try
+            {
+                var scrollRequest = new ScrollPoints
+                {
+                    CollectionName = _collectionName,
+                    Filter = new Filter(), // Filtro vazio
+                    Limit = 1000,
+                    WithPayload = true,
+                    WithVectors = false
+                };
+
+                var result = await _qdrantClient.ScrollAsync(_collectionName, scrollRequest);
+
+                return result.Select(ConvertToProject)
+                    .Where(p => p != null)
+                    .ToList()!;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao recuperar projetos do Qdrant");
+                return new List<Project>();
+            }
+        }
+
+        public async Task<Project?> GetAsync(string id)
+        {
+            try
+            {
+                var points = await _qdrantClient.RetrieveAsync(
+                    _collectionName,
+                    new[] { PointId.Parser.Parse(id) },
+                    withPayload: true,
+                    withVectors: false
+                );
+
+                var point = points.FirstOrDefault();
+                return point != null ? ConvertToProject(point) : null;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao buscar projeto {Id} no Qdrant", id);
+                return null;
+            }
+        }
+
+        public async Task CreateAsync(Project newProject)
+        {
+            try
+            {
+                var id = string.IsNullOrEmpty(newProject.Id) ? Guid.NewGuid().ToString() : newProject.Id;
+                newProject.Id = id;
+
+                var point = new PointStruct
+                {
+                    Id = PointId.Parser.Parse(id),
+                    Vectors = new float[384], // Vector dummy para projetos
+                    Payload =
+                    {
+                        ["id"] = newProject.Id,
+                        ["nome"] = newProject.Nome,
+                        ["descricao"] = newProject.Descricao,
+                        ["created_at"] = DateTime.UtcNow.ToString("O"),
+                        ["entity_type"] = "project"
+                    }
+                };
+
+                await _qdrantClient.UpsertAsync(_collectionName, new[] { point });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao criar projeto no Qdrant");
+                throw;
+            }
+        }
+
+        public async Task UpdateAsync(string id, Project updatedProject)
+        {
+            try
+            {
+                updatedProject.Id = id;
+
+                var point = new PointStruct
+                {
+                    Id = PointId.Parser.Parse(id),
+                    Vectors = new float[384], // Vector dummy
+                    Payload =
+                    {
+                        ["id"] = updatedProject.Id,
+                        ["nome"] = updatedProject.Nome,
+                        ["descricao"] = updatedProject.Descricao,
+                        ["updated_at"] = DateTime.UtcNow.ToString("O"),
+                        ["entity_type"] = "project"
+                    }
+                };
+
+                await _qdrantClient.UpsertAsync(_collectionName, new[] { point });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao atualizar projeto {Id} no Qdrant", id);
+                throw;
+            }
+        }
+
+        public async Task SaveAsync(Project project)
+        {
+            try
+            {
+                if (string.IsNullOrEmpty(project.Id))
+                {
+                    await CreateAsync(project);
+                }
+                else
+                {
+                    var existing = await GetAsync(project.Id);
+                    if (existing == null)
+                    {
+                        await CreateAsync(project);
+                    }
+                    else
+                    {
+                        await UpdateAsync(project.Id, project);
+                    }
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao salvar projeto no Qdrant");
+                throw;
+            }
+        }
+
+        public async Task RemoveAsync(string id)
+        {
+            try
+            {
+                await _qdrantClient.DeleteAsync(
+                    _collectionName,
+                    new[] { PointId.Parser.Parse(id) }
+                );
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao remover projeto {Id} do Qdrant", id);
+                throw;
+            }
+        }
+
+        private async Task CreateProjectsCollection()
+        {
+            var vectorParams = new VectorParams
+            {
+                Size = 384,
+                Distance = Distance.Cosine
+            };
+
+            await _qdrantClient.CreateCollectionAsync(_collectionName, vectorParams);
+
+            _logger.LogInformation("Collection de projetos '{CollectionName}' criada no Qdrant", _collectionName);
+        }
+
+        private static Project? ConvertToProject(RetrievedPoint point)
+        {
+            try
+            {
+                if (point.Payload == null) return null;
+
+                return new Project
+                {
+                    Id = point.Payload.TryGetValue("id", out var idValue) ? idValue.StringValue : point.Id.ToString(),
+                    Nome = point.Payload.TryGetValue("nome", out var nomeValue) ? nomeValue.StringValue : "",
+                    Descricao = point.Payload.TryGetValue("descricao", out var descValue) ? descValue.StringValue : ""
+                };
+            }
+            catch
+            {
+                return null;
+            }
+        }
+    }
+
+    public class QdrantScrollResult
+    {
+        public QdrantScrollData? result { get; set; }
+    }
+
+    public class QdrantScrollData
+    {
+        public QdrantPoint[]? points { get; set; }
+    }
+
+    public class QdrantPointResult
+    {
+        public QdrantPoint? result { get; set; }
+    }
+
+    public class QdrantPoint
+    {
+        public string? id { get; set; }
+        public Dictionary<string, object>? payload { get; set; }
+    }
+}

Data/32reubjo.e20~

@@ -0,0 +1,255 @@
+using ChatRAG.Models;
+using ChatRAG.Services.Contracts;
+using ChatRAG.Settings.ChatRAG.Configuration;
+using Microsoft.Extensions.Options;
+using System.Text;
+using System.Text.Json;
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+namespace ChatRAG.Data
+{
+    public class QdrantProjectDataRepository : IProjectDataRepository
+    {
+        private readonly HttpClient _httpClient;
+        private readonly string _collectionName;
+        private readonly ILogger<QdrantProjectDataRepository> _logger;
+        private readonly QdrantClient _qdrantClient;
+
+        public QdrantProjectDataRepository(
+            IOptions<VectorDatabaseSettings> settings,
+            HttpClient httpClient,
+            ILogger<QdrantProjectDataRepository> logger)
+        {
+            var qdrantSettings = settings.Value.Qdrant ?? throw new ArgumentNullException("Qdrant settings not configured");
+            _httpClient = httpClient;
+            _httpClient.BaseAddress = new Uri($"http://{qdrantSettings.Host}:{qdrantSettings.Port}");
+            _collectionName = qdrantSettings.GroupsCollectionName;
+            _logger = logger;
+
+            // Inicializa o QdrantClient - use GRPC (porta 6334) para melhor performance
+            _qdrantClient = new QdrantClient(qdrantSettings.Host, port: 6334, https: false);
+
+            InitializeAsync().GetAwaiter().GetResult();
+        }
+
+        private async Task InitializeAsync()
+        {
+            try
+            {
+                var exists = await _qdrantClient.CollectionExistsAsync(_collectionName);
+                if (!exists)
+                {
+                    await CreateProjectsCollection();
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao inicializar collection de projetos no Qdrant");
+            }
+        }
+
+        public async Task<List<Project>> GetAsync()
+        {
+            try
+            {
+                var scrollRequest = new ScrollPoints
+                {
+                    CollectionName = _collectionName,
+                    Filter = new Filter(), // Filtro vazio
+                    Limit = 1000,
+                    WithPayload = true,
+                    WithVectors = false
+                };
+
+                var result = await _qdrantClient.ScrollAsync(_collectionName, scrollRequest);
+
+                return result.Select(ConvertToProject)
+                    .Where(p => p != null)
+                    .ToList()!;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao recuperar projetos do Qdrant");
+                return new List<Project>();
+            }
+        }
+
+        public async Task<Project?> GetAsync(string id)
+        {
+            try
+            {
+                var points = await _qdrantClient.RetrieveAsync(
+                    _collectionName,
+                    new[] { PointId.Parser.ParseFrom(id) },
+                    withPayload: true,
+                    withVectors: false
+                );
+
+                var point = points.FirstOrDefault();
+                return point != null ? ConvertToProject(point) : null;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao buscar projeto {Id} no Qdrant", id);
+                return null;
+            }
+        }
+
+        public async Task CreateAsync(Project newProject)
+        {
+            try
+            {
+                var id = string.IsNullOrEmpty(newProject.Id) ? Guid.NewGuid().ToString() : newProject.Id;
+                newProject.Id = id;
+
+                var point = new PointStruct
+                {
+                    Id = PointId.Parser.ParseFrom(id),
+                    Vectors = new float[384], // Vector dummy para projetos
+                    Payload =
+                    {
+                        ["id"] = newProject.Id,
+                        ["nome"] = newProject.Nome,
+                        ["descricao"] = newProject.Descricao,
+                        ["created_at"] = DateTime.UtcNow.ToString("O"),
+                        ["entity_type"] = "project"
+                    }
+                };
+
+                await _qdrantClient.UpsertAsync(_collectionName, new[] { point });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao criar projeto no Qdrant");
+                throw;
+            }
+        }
+
+        public async Task UpdateAsync(string id, Project updatedProject)
+        {
+            try
+            {
+                updatedProject.Id = id;
+
+                var point = new PointStruct
+                {
+                    Id = PointId.Parser.ParseFrom(id),
+                    Vectors = new float[384], // Vector dummy
+                    Payload =
+                    {
+                        ["id"] = updatedProject.Id,
+                        ["nome"] = updatedProject.Nome,
+                        ["descricao"] = updatedProject.Descricao,
+                        ["updated_at"] = DateTime.UtcNow.ToString("O"),
+                        ["entity_type"] = "project"
+                    }
+                };
+
+                await _qdrantClient.UpsertAsync(_collectionName, new[] { point });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao atualizar projeto {Id} no Qdrant", id);
+                throw;
+            }
+        }
+
+        public async Task SaveAsync(Project project)
+        {
+            try
+            {
+                if (string.IsNullOrEmpty(project.Id))
+                {
+                    await CreateAsync(project);
+                }
+                else
+                {
+                    var existing = await GetAsync(project.Id);
+                    if (existing == null)
+                    {
+                        await CreateAsync(project);
+                    }
+                    else
+                    {
+                        await UpdateAsync(project.Id, project);
+                    }
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao salvar projeto no Qdrant");
+                throw;
+            }
+        }
+
+        public async Task RemoveAsync(string id)
+        {
+            try
+            {
+                await _qdrantClient.DeleteAsync(
+                    _collectionName,
+                    new[] { PointId.Parser.ParseFrom(id) }
+                );
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao remover projeto {Id} do Qdrant", id);
+                throw;
+            }
+        }
+
+        private async Task CreateProjectsCollection()
+        {
+            var vectorParams = new VectorParams
+            {
+                Size = 384,
+                Distance = Distance.Cosine
+            };
+
+            await _qdrantClient.CreateCollectionAsync(_collectionName, vectorParams);
+
+            _logger.LogInformation("Collection de projetos '{CollectionName}' criada no Qdrant", _collectionName);
+        }
+
+        private static Project? ConvertToProject(RetrievedPoint point)
+        {
+            try
+            {
+                if (point.Payload == null) return null;
+
+                return new Project
+                {
+                    Id = point.Payload.TryGetValue("id", out var idValue) ? idValue.StringValue : point.Id.ToString(),
+                    Nome = point.Payload.TryGetValue("nome", out var nomeValue) ? nomeValue.StringValue : "",
+                    Descricao = point.Payload.TryGetValue("descricao", out var descValue) ? descValue.StringValue : ""
+                };
+            }
+            catch
+            {
+                return null;
+            }
+        }
+    }
+
+    public class QdrantScrollResult
+    {
+        public QdrantScrollData? result { get; set; }
+    }
+
+    public class QdrantScrollData
+    {
+        public QdrantPoint[]? points { get; set; }
+    }
+
+    public class QdrantPointResult
+    {
+        public QdrantPoint? result { get; set; }
+    }
+
+    public class QdrantPoint
+    {
+        public string? id { get; set; }
+        public Dictionary<string, object>? payload { get; set; }
+    }
+}

Data/3qrw3lwa.v4s~

@@ -0,0 +1,255 @@
+using ChatRAG.Models;
+using ChatRAG.Services.Contracts;
+using ChatRAG.Settings.ChatRAG.Configuration;
+using Microsoft.Extensions.Options;
+using System.Text;
+using System.Text.Json;
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+namespace ChatRAG.Data
+{
+    public class QdrantProjectDataRepository : IProjectDataRepository
+    {
+        private readonly HttpClient _httpClient;
+        private readonly string _collectionName;
+        private readonly ILogger<QdrantProjectDataRepository> _logger;
+        private readonly QdrantClient _qdrantClient;
+
+        public QdrantProjectDataRepository(
+            IOptions<VectorDatabaseSettings> settings,
+            HttpClient httpClient,
+            ILogger<QdrantProjectDataRepository> logger)
+        {
+            var qdrantSettings = settings.Value.Qdrant ?? throw new ArgumentNullException("Qdrant settings not configured");
+            _httpClient = httpClient;
+            _httpClient.BaseAddress = new Uri($"http://{qdrantSettings.Host}:{qdrantSettings.Port}");
+            _collectionName = qdrantSettings.GroupsCollectionName;
+            _logger = logger;
+
+            // Inicializa o QdrantClient - use GRPC (porta 6334) para melhor performance
+            _qdrantClient = new QdrantClient(qdrantSettings.Host, port: 6334, https: false);
+
+            InitializeAsync().GetAwaiter().GetResult();
+        }
+
+        private async Task InitializeAsync()
+        {
+            try
+            {
+                var exists = await _qdrantClient.CollectionExistsAsync(_collectionName);
+                if (!exists)
+                {
+                    await CreateProjectsCollection();
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao inicializar collection de projetos no Qdrant");
+            }
+        }
+
+        public async Task<List<Project>> GetAsync()
+        {
+            try
+            {
+                var scrollRequest = new ScrollPoints
+                {
+                    CollectionName = _collectionName,
+                    Filter = new Filter(), // Filtro vazio
+                    Limit = 1000,
+                    WithPayload = true,
+                    WithVectors = false
+                };
+
+                var result = await _qdrantClient.ScrollAsync(scrollRequest);
+
+                return result.Select(ConvertToProject)
+                    .Where(p => p != null)
+                    .ToList()!;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao recuperar projetos do Qdrant");
+                return new List<Project>();
+            }
+        }
+
+        public async Task<Project?> GetAsync(string id)
+        {
+            try
+            {
+                var points = await _qdrantClient.RetrieveAsync(
+                    _collectionName,
+                    new[] { PointId.NewGuid(Guid.Parse(id)) },
+                    withPayload: true,
+                    withVectors: false
+                );
+
+                var point = points.FirstOrDefault();
+                return point != null ? ConvertToProject(point) : null;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao buscar projeto {Id} no Qdrant", id);
+                return null;
+            }
+        }
+
+        public async Task CreateAsync(Project newProject)
+        {
+            try
+            {
+                var id = string.IsNullOrEmpty(newProject.Id) ? Guid.NewGuid().ToString() : newProject.Id;
+                newProject.Id = id;
+
+                var point = new PointStruct
+                {
+                    Id = PointId.NewGuid(Guid.Parse(id)),
+                    Vectors = new float[384], // Vector dummy para projetos
+                    Payload =
+                    {
+                        ["id"] = newProject.Id,
+                        ["nome"] = newProject.Nome,
+                        ["descricao"] = newProject.Descricao,
+                        ["created_at"] = DateTime.UtcNow.ToString("O"),
+                        ["entity_type"] = "project"
+                    }
+                };
+
+                await _qdrantClient.UpsertAsync(_collectionName, new[] { point });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao criar projeto no Qdrant");
+                throw;
+            }
+        }
+
+        public async Task UpdateAsync(string id, Project updatedProject)
+        {
+            try
+            {
+                updatedProject.Id = id;
+
+                var point = new PointStruct
+                {
+                    Id = PointId.NewGuid(Guid.Parse(id)),
+                    Vectors = new float[384], // Vector dummy
+                    Payload =
+                    {
+                        ["id"] = updatedProject.Id,
+                        ["nome"] = updatedProject.Nome,
+                        ["descricao"] = updatedProject.Descricao,
+                        ["updated_at"] = DateTime.UtcNow.ToString("O"),
+                        ["entity_type"] = "project"
+                    }
+                };
+
+                await _qdrantClient.UpsertAsync(_collectionName, new[] { point });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao atualizar projeto {Id} no Qdrant", id);
+                throw;
+            }
+        }
+
+        public async Task SaveAsync(Project project)
+        {
+            try
+            {
+                if (string.IsNullOrEmpty(project.Id))
+                {
+                    await CreateAsync(project);
+                }
+                else
+                {
+                    var existing = await GetAsync(project.Id);
+                    if (existing == null)
+                    {
+                        await CreateAsync(project);
+                    }
+                    else
+                    {
+                        await UpdateAsync(project.Id, project);
+                    }
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao salvar projeto no Qdrant");
+                throw;
+            }
+        }
+
+        public async Task RemoveAsync(string id)
+        {
+            try
+            {
+                await _qdrantClient.DeleteAsync(
+                    _collectionName,
+                    new[] { PointId.NewGuid(Guid.Parse(id)) }
+                );
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao remover projeto {Id} do Qdrant", id);
+                throw;
+            }
+        }
+
+        private async Task CreateProjectsCollection()
+        {
+            var vectorParams = new VectorParams
+            {
+                Size = 384,
+                Distance = Distance.Cosine
+            };
+
+            await _qdrantClient.CreateCollectionAsync(_collectionName, vectorParams);
+
+            _logger.LogInformation("Collection de projetos '{CollectionName}' criada no Qdrant", _collectionName);
+        }
+
+        private static Project? ConvertToProject(RetrievedPoint point)
+        {
+            try
+            {
+                if (point.Payload == null) return null;
+
+                return new Project
+                {
+                    Id = point.Payload.TryGetValue("id", out var idValue) ? idValue.StringValue : point.Id.ToString(),
+                    Nome = point.Payload.TryGetValue("nome", out var nomeValue) ? nomeValue.StringValue : "",
+                    Descricao = point.Payload.TryGetValue("descricao", out var descValue) ? descValue.StringValue : ""
+                };
+            }
+            catch
+            {
+                return null;
+            }
+        }
+    }
+
+    public class QdrantScrollResult
+    {
+        public QdrantScrollData? result { get; set; }
+    }
+
+    public class QdrantScrollData
+    {
+        public QdrantPoint[]? points { get; set; }
+    }
+
+    public class QdrantPointResult
+    {
+        public QdrantPoint? result { get; set; }
+    }
+
+    public class QdrantPoint
+    {
+        public string? id { get; set; }
+        public Dictionary<string, object>? payload { get; set; }
+    }
+}

Data/ChromaProjectDataRepository.cs

@@ -0,0 +1,331 @@
+using ChatRAG.Models;
+using ChatRAG.Services.Contracts;
+using ChatRAG.Services.SearchVectors;
+using ChatRAG.Settings.ChatRAG.Configuration;
+using Microsoft.Extensions.Options;
+using System.Text;
+using System.Text.Json;
+
+namespace ChatRAG.Data
+{
+
+    public class ChromaProjectDataRepository : IProjectDataRepository
+    {
+        private readonly HttpClient _httpClient;
+        private readonly string _collectionName;
+        private readonly ILogger<ChromaProjectDataRepository> _logger;
+
+        public ChromaProjectDataRepository(
+            IOptions<VectorDatabaseSettings> settings,
+            HttpClient httpClient,
+            ILogger<ChromaProjectDataRepository> logger)
+        {
+            var chromaSettings = settings.Value.Chroma ?? throw new ArgumentNullException("Chroma settings not configured");
+            _httpClient = httpClient;
+            _httpClient.BaseAddress = new Uri($"http://{chromaSettings.Host}:{chromaSettings.Port}");
+            _collectionName = "projects"; // Collection separada para projetos
+            _logger = logger;
+
+            InitializeAsync().GetAwaiter().GetResult();
+        }
+
+        private async Task InitializeAsync()
+        {
+            try
+            {
+                // Verificar se a collection existe, se não, criar
+                var collections = await GetCollectionsAsync();
+                if (!collections.Contains(_collectionName))
+                {
+                    await CreateProjectsCollection();
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao inicializar collection de projetos no Chroma");
+            }
+        }
+
+        public async Task<List<Project>> GetAsync()
+        {
+            try
+            {
+                var query = new
+                {
+                    where = new { entity_type = "project" },
+                    include = new[] { "documents", "metadatas" }
+                };
+
+                var json = JsonSerializer.Serialize(query);
+                var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+                var response = await _httpClient.PostAsync($"/api/v2/collections/{_collectionName}/get", content);
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    _logger.LogError("Erro ao buscar projetos no Chroma");
+                    return new List<Project>();
+                }
+
+                var result = await response.Content.ReadAsStringAsync();
+                var getResult = JsonSerializer.Deserialize<ChromaGetResult>(result);
+
+                var projects = new List<Project>();
+                if (getResult?.ids?.Length > 0)
+                {
+                    for (int i = 0; i < getResult.ids.Length; i++)
+                    {
+                        var metadata = getResult.metadatas?[i];
+                        if (metadata != null)
+                        {
+                            projects.Add(new Project
+                            {
+                                Id = metadata.GetValueOrDefault("id")?.ToString() ?? getResult.ids[i],
+                                Nome = metadata.GetValueOrDefault("nome")?.ToString() ?? "",
+                                Descricao = metadata.GetValueOrDefault("descricao")?.ToString() ?? ""
+                            });
+                        }
+                    }
+                }
+
+                return projects;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao recuperar projetos do Chroma");
+                return new List<Project>();
+            }
+        }
+
+        public async Task<Project?> GetAsync(string id)
+        {
+            try
+            {
+                var query = new
+                {
+                    ids = new[] { id },
+                    include = new[] { "metadatas" }
+                };
+
+                var json = JsonSerializer.Serialize(query);
+                var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+                var response = await _httpClient.PostAsync($"/api/v2/collections/{_collectionName}/get", content);
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    return null;
+                }
+
+                var result = await response.Content.ReadAsStringAsync();
+                var getResult = JsonSerializer.Deserialize<ChromaGetResult>(result);
+
+                if (getResult?.ids?.Length > 0 && getResult.metadatas?[0] != null)
+                {
+                    var metadata = getResult.metadatas[0];
+                    return new Project
+                    {
+                        Id = metadata.GetValueOrDefault("id")?.ToString() ?? id,
+                        Nome = metadata.GetValueOrDefault("nome")?.ToString() ?? "",
+                        Descricao = metadata.GetValueOrDefault("descricao")?.ToString() ?? ""
+                    };
+                }
+
+                return null;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao buscar projeto {Id} no Chroma", id);
+                return null;
+            }
+        }
+
+        public async Task CreateAsync(Project newProject)
+        {
+            try
+            {
+                var id = string.IsNullOrEmpty(newProject.Id) ? Guid.NewGuid().ToString() : newProject.Id;
+                newProject.Id = id;
+
+                var document = new
+                {
+                    ids = new[] { id },
+                    documents = new[] { $"Projeto: {newProject.Nome}" },
+                    metadatas = new[] { new Dictionary<string, object>
+                    {
+                        ["id"] = id,
+                        ["nome"] = newProject.Nome,
+                        ["descricao"] = newProject.Descricao,
+                        ["created_at"] = DateTime.UtcNow.ToString("O"),
+                        ["entity_type"] = "project"
+                    }},
+                    embeddings = new[] { new double[384] } // Vector dummy
+                };
+
+                var json = JsonSerializer.Serialize(document);
+                var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+                var response = await _httpClient.PostAsync($"/api/v2/collections/{_collectionName}/add", content);
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    var error = await response.Content.ReadAsStringAsync();
+                    throw new Exception($"Erro ao criar projeto no Chroma: {error}");
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao criar projeto no Chroma");
+                throw;
+            }
+        }
+
+        public async Task UpdateAsync(string id, Project updatedProject)
+        {
+            try
+            {
+                // Chroma não tem update direto, então fazemos upsert
+                updatedProject.Id = id;
+
+                var document = new
+                {
+                    ids = new[] { id },
+                    documents = new[] { $"Projeto: {updatedProject.Nome}" },
+                    metadatas = new[] { new Dictionary<string, object>
+                    {
+                        ["id"] = id,
+                        ["nome"] = updatedProject.Nome,
+                        ["descricao"] = updatedProject.Descricao,
+                        ["updated_at"] = DateTime.UtcNow.ToString("O"),
+                        ["entity_type"] = "project"
+                    }},
+                    embeddings = new[] { new double[384] }
+                };
+
+                var json = JsonSerializer.Serialize(document);
+                var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+                var response = await _httpClient.PostAsync($"/api/v2/collections/{_collectionName}/upsert", content);
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    var error = await response.Content.ReadAsStringAsync();
+                    throw new Exception($"Erro ao atualizar projeto no Chroma: {error}");
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao atualizar projeto {Id} no Chroma", id);
+                throw;
+            }
+        }
+
+        public async Task SaveAsync(Project project)
+        {
+            try
+            {
+                if (string.IsNullOrEmpty(project.Id))
+                {
+                    await CreateAsync(project);
+                }
+                else
+                {
+                    var existing = await GetAsync(project.Id);
+                    if (existing == null)
+                    {
+                        await CreateAsync(project);
+                    }
+                    else
+                    {
+                        await UpdateAsync(project.Id, project);
+                    }
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao salvar projeto no Chroma");
+                throw;
+            }
+        }
+
+        public async Task RemoveAsync(string id)
+        {
+            try
+            {
+                var deleteRequest = new
+                {
+                    ids = new[] { id }
+                };
+
+                var json = JsonSerializer.Serialize(deleteRequest);
+                var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+                var response = await _httpClient.PostAsync($"/api/v2/collections/{_collectionName}/delete", content);
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    var error = await response.Content.ReadAsStringAsync();
+                    _logger.LogWarning("Erro ao remover projeto {Id} do Chroma: {Error}", id, error);
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao remover projeto {Id} do Chroma", id);
+                throw;
+            }
+        }
+
+        private async Task<string[]> GetCollectionsAsync()
+        {
+            try
+            {
+                var response = await _httpClient.GetAsync("/api/v2/collections");
+                if (!response.IsSuccessStatusCode)
+                {
+                    return Array.Empty<string>();
+                }
+
+                var content = await response.Content.ReadAsStringAsync();
+                var collections = JsonSerializer.Deserialize<string[]>(content);
+                return collections ?? Array.Empty<string>();
+            }
+            catch
+            {
+                return Array.Empty<string>();
+            }
+        }
+
+        private async Task CreateProjectsCollection()
+        {
+            var collection = new
+            {
+                name = _collectionName,
+                metadata = new
+                {
+                    description = "Projects Collection",
+                    created_at = DateTime.UtcNow.ToString("O")
+                }
+            };
+
+            var json = JsonSerializer.Serialize(collection);
+            var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+            var response = await _httpClient.PostAsync("/api/v2/collections", content);
+
+            if (!response.IsSuccessStatusCode)
+            {
+                var error = await response.Content.ReadAsStringAsync();
+                throw new Exception($"Erro ao criar collection de projetos: {error}");
+            }
+
+            _logger.LogInformation("Collection de projetos '{CollectionName}' criada no Chroma", _collectionName);
+        }
+    }
+
+    public class ChromaGetResult
+    {
+        public string[] ids { get; set; } = Array.Empty<string>();
+        public string[] documents { get; set; } = Array.Empty<string>();
+        public Dictionary<string, object>[]? metadatas { get; set; }
+    }
+}

Data/MongoProjectDataRepository.cs

@@ -1,16 +1,17 @@
 using ChatApi;
 using ChatRAG.Models;
+using ChatRAG.Services.Contracts;
 using ChatRAG.Settings.ChatRAG.Configuration;
 using Microsoft.Extensions.Options;
 using MongoDB.Driver;
 
 namespace ChatRAG.Data
 {
-    public class ProjectDataRepository
+    public class MongoProjectDataRepository : IProjectDataRepository
     {
         private readonly IMongoCollection<Project> _textsCollection;
 
-        public ProjectDataRepository(
+        public MongoProjectDataRepository(
             IOptions<VectorDatabaseSettings> databaseSettings)
         {
             var mongoClient = new MongoClient(

Data/QdrantProjectDataRepository.cs

@@ -0,0 +1,269 @@
+using ChatRAG.Models;
+using ChatRAG.Services.Contracts;
+using ChatRAG.Settings.ChatRAG.Configuration;
+using Microsoft.Extensions.Options;
+using System.Text;
+using System.Text.Json;
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+using Google.Protobuf;
+
+namespace ChatRAG.Data
+{
+    public class QdrantProjectDataRepository : IProjectDataRepository
+    {
+        private readonly HttpClient _httpClient;
+        private readonly string _collectionName;
+        private readonly ILogger<QdrantProjectDataRepository> _logger;
+        private readonly QdrantClient _qdrantClient;
+        private volatile bool _collectionInitialized = false;
+        private readonly SemaphoreSlim _initializationSemaphore = new(1, 1);
+
+        public QdrantProjectDataRepository(
+            IOptions<VectorDatabaseSettings> settings,
+            HttpClient httpClient,
+            ILogger<QdrantProjectDataRepository> logger)
+        {
+            var qdrantSettings = settings.Value.Qdrant ?? throw new ArgumentNullException("Qdrant settings not configured");
+            _httpClient = httpClient;
+            _httpClient.BaseAddress = new Uri($"http://{qdrantSettings.Host}:{qdrantSettings.Port}");
+            _collectionName = qdrantSettings.GroupsCollectionName;
+            _logger = logger;
+
+            // Inicializa o QdrantClient - use GRPC (porta 6334) para melhor performance
+            _qdrantClient = new QdrantClient(qdrantSettings.Host, port: 6334, https: false);
+
+            InitializeAsync().GetAwaiter().GetResult();
+        }
+
+        private async Task InitializeAsync()
+        {
+            try
+            {
+                if (_collectionInitialized) return;
+
+                await _initializationSemaphore.WaitAsync();
+
+                var exists = await _qdrantClient.CollectionExistsAsync(_collectionName);
+                if (!exists)
+                {
+                    await CreateProjectsCollection();
+                }
+                _collectionInitialized = true;
+
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao inicializar collection de projetos no Qdrant");
+            }
+            finally
+            {
+                _initializationSemaphore.Release();
+            }
+        }
+
+        public async Task<List<Project>> GetAsync()
+        {
+            try
+            {
+                //var scrollRequest = new ScrollPoints
+                //{
+                //    CollectionName = _collectionName,
+                //    Filter = new Filter(), // Filtro vazio
+                //    Limit = 1000,
+                //    WithPayload = true,
+                //    WithVectors = false
+                //};
+
+                //var result = await _qdrantClient.ScrollAsync(_collectionName, scrollRequest);
+                var result = await _qdrantClient.ScrollAsync(_collectionName, new Filter(), 1000, null, true, false);
+
+                return result.Result.Select(ConvertToProject)
+                    .Where(p => p != null)
+                    .ToList()!;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao recuperar projetos do Qdrant");
+                return new List<Project>();
+            }
+        }
+
+        public async Task<Project?> GetAsync(string id)
+        {
+            try
+            {
+                var points = await _qdrantClient.RetrieveAsync(
+                    _collectionName,
+                    new[] { new PointId { Uuid = id } },
+                    withPayload: true,
+                    withVectors: false
+                );
+
+                var point = points.FirstOrDefault();
+                return point != null ? ConvertToProject(point) : null;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao buscar projeto {Id} no Qdrant", id);
+                return null;
+            }
+        }
+
+        public async Task CreateAsync(Project newProject)
+        {
+            try
+            {
+                var id = string.IsNullOrEmpty(newProject.Id) ? Guid.NewGuid().ToString() : newProject.Id;
+                newProject.Id = id;
+
+                var point = new PointStruct
+                {
+                    Id = new PointId { Uuid= id },
+                    Vectors = new float[384], // Vector dummy para projetos
+                    Payload =
+                    {
+                        ["id"] = newProject.Id,
+                        ["nome"] = newProject.Nome,
+                        ["descricao"] = newProject.Descricao,
+                        ["created_at"] = DateTime.UtcNow.ToString("O"),
+                        ["entity_type"] = "project"
+                    }
+                };
+
+                await _qdrantClient.UpsertAsync(_collectionName, new[] { point });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao criar projeto no Qdrant");
+                throw;
+            }
+        }
+
+        public async Task UpdateAsync(string id, Project updatedProject)
+        {
+            try
+            {
+                updatedProject.Id = id;
+
+                var point = new PointStruct
+                {
+                    Id = new PointId { Uuid = id },
+                    Vectors = new float[384], // Vector dummy
+                    Payload =
+                    {
+                        ["id"] = updatedProject.Id,
+                        ["nome"] = updatedProject.Nome,
+                        ["descricao"] = updatedProject.Descricao,
+                        ["updated_at"] = DateTime.UtcNow.ToString("O"),
+                        ["entity_type"] = "project"
+                    }
+                };
+
+                await _qdrantClient.UpsertAsync(_collectionName, new[] { point });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao atualizar projeto {Id} no Qdrant", id);
+                throw;
+            }
+        }
+
+        public async Task SaveAsync(Project project)
+        {
+            try
+            {
+                if (string.IsNullOrEmpty(project.Id))
+                {
+                    await CreateAsync(project);
+                }
+                else
+                {
+                    var existing = await GetAsync(project.Id);
+                    if (existing == null)
+                    {
+                        await CreateAsync(project);
+                    }
+                    else
+                    {
+                        await UpdateAsync(project.Id, project);
+                    }
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao salvar projeto no Qdrant");
+                throw;
+            }
+        }
+
+        public async Task RemoveAsync(string id)
+        {
+            try
+            {
+                await _qdrantClient.DeleteAsync(
+                    _collectionName,
+                    new[] { new PointId { Uuid = id }.Num }
+                );
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao remover projeto {Id} do Qdrant", id);
+                throw;
+            }
+        }
+
+        private async Task CreateProjectsCollection()
+        {
+            var vectorParams = new VectorParams
+            {
+                Size = 384,
+                Distance = Distance.Cosine
+            };
+
+            await _qdrantClient.CreateCollectionAsync(_collectionName, vectorParams);
+
+            _logger.LogInformation("Collection de projetos '{CollectionName}' criada no Qdrant", _collectionName);
+        }
+
+        private static Project? ConvertToProject(RetrievedPoint point)
+        {
+            try
+            {
+                if (point.Payload == null) return null;
+
+                return new Project
+                {
+                    Id = point.Payload.TryGetValue("id", out var idValue) ? idValue.StringValue : point.Id.ToString(),
+                    Nome = point.Payload.TryGetValue("nome", out var nomeValue) ? nomeValue.StringValue : "",
+                    Descricao = point.Payload.TryGetValue("descricao", out var descValue) ? descValue.StringValue : ""
+                };
+            }
+            catch
+            {
+                return null;
+            }
+        }
+    }
+
+    public class QdrantScrollResult
+    {
+        public QdrantScrollData? result { get; set; }
+    }
+
+    public class QdrantScrollData
+    {
+        public QdrantPoint[]? points { get; set; }
+    }
+
+    public class QdrantPointResult
+    {
+        public QdrantPoint? result { get; set; }
+    }
+
+    public class QdrantPoint
+    {
+        public string? id { get; set; }
+        public Dictionary<string, object>? payload { get; set; }
+    }
+}

Data/hnwhoaao.xfh~

@@ -0,0 +1,263 @@
+using ChatRAG.Models;
+using ChatRAG.Services.Contracts;
+using ChatRAG.Settings.ChatRAG.Configuration;
+using Microsoft.Extensions.Options;
+using System.Text;
+using System.Text.Json;
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+namespace ChatRAG.Data
+{
+    public class QdrantProjectDataRepository : IProjectDataRepository
+    {
+        private readonly HttpClient _httpClient;
+        private readonly string _collectionName;
+        private readonly ILogger<QdrantProjectDataRepository> _logger;
+        private readonly QdrantClient _qdrantClient;
+        private volatile bool _collectionInitialized = false;
+        private readonly SemaphoreSlim _initializationSemaphore = new(1, 1);
+
+        public QdrantProjectDataRepository(
+            IOptions<VectorDatabaseSettings> settings,
+            HttpClient httpClient,
+            ILogger<QdrantProjectDataRepository> logger)
+        {
+            var qdrantSettings = settings.Value.Qdrant ?? throw new ArgumentNullException("Qdrant settings not configured");
+            _httpClient = httpClient;
+            _httpClient.BaseAddress = new Uri($"http://{qdrantSettings.Host}:{qdrantSettings.Port}");
+            _collectionName = qdrantSettings.GroupsCollectionName;
+            _logger = logger;
+
+            // Inicializa o QdrantClient - use GRPC (porta 6334) para melhor performance
+            _qdrantClient = new QdrantClient(qdrantSettings.Host, port: 6334, https: false);
+
+            InitializeAsync().GetAwaiter().GetResult();
+        }
+
+        private async Task EnsureInitializedAsync()
+        {
+            try
+            {
+                if (_collectionInitialized) return;
+
+                await _initializationSemaphore.WaitAsync();
+
+                var exists = await _qdrantClient.CollectionExistsAsync(_collectionName);
+                if (!exists)
+                {
+                    await CreateProjectsCollection();
+                }
+                _collectionInitialized = true;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao inicializar collection de projetos no Qdrant");
+            }
+        }
+
+        public async Task<List<Project>> GetAsync()
+        {
+            try
+            {
+                //var scrollRequest = new ScrollPoints
+                //{
+                //    CollectionName = _collectionName,
+                //    Filter = new Filter(), // Filtro vazio
+                //    Limit = 1000,
+                //    WithPayload = true,
+                //    WithVectors = false
+                //};
+
+                //var result = await _qdrantClient.ScrollAsync(_collectionName, scrollRequest);
+                var result = await _qdrantClient.ScrollAsync(_collectionName, new Filter(), 1000, null, true, false);
+
+                return result.Result.Select(ConvertToProject)
+                    .Where(p => p != null)
+                    .ToList()!;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao recuperar projetos do Qdrant");
+                return new List<Project>();
+            }
+        }
+
+        public async Task<Project?> GetAsync(string id)
+        {
+            try
+            {
+                var points = await _qdrantClient.RetrieveAsync(
+                    _collectionName,
+                    new[] { PointId.Parser.ParseFrom(Encoding.ASCII.GetBytes(id)) },
+                    withPayload: true,
+                    withVectors: false
+                );
+
+                var point = points.FirstOrDefault();
+                return point != null ? ConvertToProject(point) : null;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao buscar projeto {Id} no Qdrant", id);
+                return null;
+            }
+        }
+
+        public async Task CreateAsync(Project newProject)
+        {
+            try
+            {
+                var id = string.IsNullOrEmpty(newProject.Id) ? Guid.NewGuid().ToString() : newProject.Id;
+                newProject.Id = id;
+
+                var point = new PointStruct
+                {
+                    Id = PointId.Parser.ParseFrom(Encoding.ASCII.GetBytes(id)),
+                    Vectors = new float[384], // Vector dummy para projetos
+                    Payload =
+                    {
+                        ["id"] = newProject.Id,
+                        ["nome"] = newProject.Nome,
+                        ["descricao"] = newProject.Descricao,
+                        ["created_at"] = DateTime.UtcNow.ToString("O"),
+                        ["entity_type"] = "project"
+                    }
+                };
+
+                await _qdrantClient.UpsertAsync(_collectionName, new[] { point });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao criar projeto no Qdrant");
+                throw;
+            }
+        }
+
+        public async Task UpdateAsync(string id, Project updatedProject)
+        {
+            try
+            {
+                updatedProject.Id = id;
+
+                var point = new PointStruct
+                {
+                    Id = PointId.Parser.ParseFrom(Encoding.ASCII.GetBytes(id)),
+                    Vectors = new float[384], // Vector dummy
+                    Payload =
+                    {
+                        ["id"] = updatedProject.Id,
+                        ["nome"] = updatedProject.Nome,
+                        ["descricao"] = updatedProject.Descricao,
+                        ["updated_at"] = DateTime.UtcNow.ToString("O"),
+                        ["entity_type"] = "project"
+                    }
+                };
+
+                await _qdrantClient.UpsertAsync(_collectionName, new[] { point });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao atualizar projeto {Id} no Qdrant", id);
+                throw;
+            }
+        }
+
+        public async Task SaveAsync(Project project)
+        {
+            try
+            {
+                if (string.IsNullOrEmpty(project.Id))
+                {
+                    await CreateAsync(project);
+                }
+                else
+                {
+                    var existing = await GetAsync(project.Id);
+                    if (existing == null)
+                    {
+                        await CreateAsync(project);
+                    }
+                    else
+                    {
+                        await UpdateAsync(project.Id, project);
+                    }
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao salvar projeto no Qdrant");
+                throw;
+            }
+        }
+
+        public async Task RemoveAsync(string id)
+        {
+            try
+            {
+                await _qdrantClient.DeleteAsync(
+                    _collectionName,
+                    new[] { PointId.Parser.ParseFrom(Encoding.ASCII.GetBytes(id)).Num }
+                );
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao remover projeto {Id} do Qdrant", id);
+                throw;
+            }
+        }
+
+        private async Task CreateProjectsCollection()
+        {
+            var vectorParams = new VectorParams
+            {
+                Size = 384,
+                Distance = Distance.Cosine
+            };
+
+            await _qdrantClient.CreateCollectionAsync(_collectionName, vectorParams);
+
+            _logger.LogInformation("Collection de projetos '{CollectionName}' criada no Qdrant", _collectionName);
+        }
+
+        private static Project? ConvertToProject(RetrievedPoint point)
+        {
+            try
+            {
+                if (point.Payload == null) return null;
+
+                return new Project
+                {
+                    Id = point.Payload.TryGetValue("id", out var idValue) ? idValue.StringValue : point.Id.ToString(),
+                    Nome = point.Payload.TryGetValue("nome", out var nomeValue) ? nomeValue.StringValue : "",
+                    Descricao = point.Payload.TryGetValue("descricao", out var descValue) ? descValue.StringValue : ""
+                };
+            }
+            catch
+            {
+                return null;
+            }
+        }
+    }
+
+    public class QdrantScrollResult
+    {
+        public QdrantScrollData? result { get; set; }
+    }
+
+    public class QdrantScrollData
+    {
+        public QdrantPoint[]? points { get; set; }
+    }
+
+    public class QdrantPointResult
+    {
+        public QdrantPoint? result { get; set; }
+    }
+
+    public class QdrantPoint
+    {
+        public string? id { get; set; }
+        public Dictionary<string, object>? payload { get; set; }
+    }
+}

Data/wgbnjwfg.nr3~

@@ -0,0 +1,268 @@
+using ChatRAG.Models;
+using ChatRAG.Services.Contracts;
+using ChatRAG.Settings.ChatRAG.Configuration;
+using Microsoft.Extensions.Options;
+using System.Text;
+using System.Text.Json;
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+namespace ChatRAG.Data
+{
+    public class QdrantProjectDataRepository : IProjectDataRepository
+    {
+        private readonly HttpClient _httpClient;
+        private readonly string _collectionName;
+        private readonly ILogger<QdrantProjectDataRepository> _logger;
+        private readonly QdrantClient _qdrantClient;
+        private volatile bool _collectionInitialized = false;
+        private readonly SemaphoreSlim _initializationSemaphore = new(1, 1);
+
+        public QdrantProjectDataRepository(
+            IOptions<VectorDatabaseSettings> settings,
+            HttpClient httpClient,
+            ILogger<QdrantProjectDataRepository> logger)
+        {
+            var qdrantSettings = settings.Value.Qdrant ?? throw new ArgumentNullException("Qdrant settings not configured");
+            _httpClient = httpClient;
+            _httpClient.BaseAddress = new Uri($"http://{qdrantSettings.Host}:{qdrantSettings.Port}");
+            _collectionName = qdrantSettings.GroupsCollectionName;
+            _logger = logger;
+
+            // Inicializa o QdrantClient - use GRPC (porta 6334) para melhor performance
+            _qdrantClient = new QdrantClient(qdrantSettings.Host, port: 6334, https: false);
+
+            InitializeAsync().GetAwaiter().GetResult();
+        }
+
+        private async Task InitializeAsync()
+        {
+            try
+            {
+                if (_collectionInitialized) return;
+
+                await _initializationSemaphore.WaitAsync();
+
+                var exists = await _qdrantClient.CollectionExistsAsync(_collectionName);
+                if (!exists)
+                {
+                    await CreateProjectsCollection();
+                }
+                _collectionInitialized = true;
+
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao inicializar collection de projetos no Qdrant");
+            }
+            finally
+            {
+                _initializationSemaphore.Release();
+            }
+        }
+
+        public async Task<List<Project>> GetAsync()
+        {
+            try
+            {
+                //var scrollRequest = new ScrollPoints
+                //{
+                //    CollectionName = _collectionName,
+                //    Filter = new Filter(), // Filtro vazio
+                //    Limit = 1000,
+                //    WithPayload = true,
+                //    WithVectors = false
+                //};
+
+                //var result = await _qdrantClient.ScrollAsync(_collectionName, scrollRequest);
+                var result = await _qdrantClient.ScrollAsync(_collectionName, new Filter(), 1000, null, true, false);
+
+                return result.Result.Select(ConvertToProject)
+                    .Where(p => p != null)
+                    .ToList()!;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao recuperar projetos do Qdrant");
+                return new List<Project>();
+            }
+        }
+
+        public async Task<Project?> GetAsync(string id)
+        {
+            try
+            {
+                var points = await _qdrantClient.RetrieveAsync(
+                    _collectionName,
+                    new[] { PointId.Parser.ParseFrom(Encoding.ASCII.GetBytes(id)) },
+                    withPayload: true,
+                    withVectors: false
+                );
+
+                var point = points.FirstOrDefault();
+                return point != null ? ConvertToProject(point) : null;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao buscar projeto {Id} no Qdrant", id);
+                return null;
+            }
+        }
+
+        public async Task CreateAsync(Project newProject)
+        {
+            try
+            {
+                var id = string.IsNullOrEmpty(newProject.Id) ? Guid.NewGuid().ToString() : newProject.Id;
+                newProject.Id = id;
+
+                var point = new PointStruct
+                {
+                    Id = PointId.Parser.ParseFrom(Encoding.ASCII.GetBytes(id)),
+                    Vectors = new float[384], // Vector dummy para projetos
+                    Payload =
+                    {
+                        ["id"] = newProject.Id,
+                        ["nome"] = newProject.Nome,
+                        ["descricao"] = newProject.Descricao,
+                        ["created_at"] = DateTime.UtcNow.ToString("O"),
+                        ["entity_type"] = "project"
+                    }
+                };
+
+                await _qdrantClient.UpsertAsync(_collectionName, new[] { point });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao criar projeto no Qdrant");
+                throw;
+            }
+        }
+
+        public async Task UpdateAsync(string id, Project updatedProject)
+        {
+            try
+            {
+                updatedProject.Id = id;
+
+                var point = new PointStruct
+                {
+                    Id = PointId.Parser.ParseFrom(Encoding.ASCII.GetBytes(id)),
+                    Vectors = new float[384], // Vector dummy
+                    Payload =
+                    {
+                        ["id"] = updatedProject.Id,
+                        ["nome"] = updatedProject.Nome,
+                        ["descricao"] = updatedProject.Descricao,
+                        ["updated_at"] = DateTime.UtcNow.ToString("O"),
+                        ["entity_type"] = "project"
+                    }
+                };
+
+                await _qdrantClient.UpsertAsync(_collectionName, new[] { point });
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao atualizar projeto {Id} no Qdrant", id);
+                throw;
+            }
+        }
+
+        public async Task SaveAsync(Project project)
+        {
+            try
+            {
+                if (string.IsNullOrEmpty(project.Id))
+                {
+                    await CreateAsync(project);
+                }
+                else
+                {
+                    var existing = await GetAsync(project.Id);
+                    if (existing == null)
+                    {
+                        await CreateAsync(project);
+                    }
+                    else
+                    {
+                        await UpdateAsync(project.Id, project);
+                    }
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao salvar projeto no Qdrant");
+                throw;
+            }
+        }
+
+        public async Task RemoveAsync(string id)
+        {
+            try
+            {
+                await _qdrantClient.DeleteAsync(
+                    _collectionName,
+                    new[] { PointId.Parser.ParseFrom(Encoding.ASCII.GetBytes(id)).Num }
+                );
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao remover projeto {Id} do Qdrant", id);
+                throw;
+            }
+        }
+
+        private async Task CreateProjectsCollection()
+        {
+            var vectorParams = new VectorParams
+            {
+                Size = 384,
+                Distance = Distance.Cosine
+            };
+
+            await _qdrantClient.CreateCollectionAsync(_collectionName, vectorParams);
+
+            _logger.LogInformation("Collection de projetos '{CollectionName}' criada no Qdrant", _collectionName);
+        }
+
+        private static Project? ConvertToProject(RetrievedPoint point)
+        {
+            try
+            {
+                if (point.Payload == null) return null;
+
+                return new Project
+                {
+                    Id = point.Payload.TryGetValue("id", out var idValue) ? idValue.StringValue : point.Id.ToString(),
+                    Nome = point.Payload.TryGetValue("nome", out var nomeValue) ? nomeValue.StringValue : "",
+                    Descricao = point.Payload.TryGetValue("descricao", out var descValue) ? descValue.StringValue : ""
+                };
+            }
+            catch
+            {
+                return null;
+            }
+        }
+    }
+
+    public class QdrantScrollResult
+    {
+        public QdrantScrollData? result { get; set; }
+    }
+
+    public class QdrantScrollData
+    {
+        public QdrantPoint[]? points { get; set; }
+    }
+
+    public class QdrantPointResult
+    {
+        public QdrantPoint? result { get; set; }
+    }
+
+    public class QdrantPoint
+    {
+        public string? id { get; set; }
+        public Dictionary<string, object>? payload { get; set; }
+    }
+}

Program.cs

@@ -10,6 +10,7 @@ using ChatRAG.Services;
 using ChatRAG.Services.Contracts;
 using ChatRAG.Services.ResponseService;
 using ChatRAG.Services.SearchVectors;
+using ChatRAG.Services.TextServices;
 using ChatRAG.Settings.ChatRAG.Configuration;
 using Microsoft.AspNetCore.Authentication.JwtBearer;
 using Microsoft.AspNetCore.Http.Features;
@@ -78,7 +79,10 @@ builder.Services.AddSwaggerGen(c =>
 builder.Services.Configure<ChatRHSettings>(
 builder.Configuration.GetSection("ChatRHSettings"));
 
-builder.Services.AddScoped<IVectorSearchService, MongoVectorSearchService>();
+//builder.Services.AddScoped<IVectorSearchService, MongoVectorSearchService>();
+builder.Services.AddScoped<QdrantVectorSearchService>();
+builder.Services.AddScoped<MongoVectorSearchService>();
+builder.Services.AddScoped<ChromaVectorSearchService>();
 
 builder.Services.AddVectorDatabase(builder.Configuration);
 
@@ -89,12 +93,76 @@ builder.Services.AddScoped<IVectorSearchService>(provider =>
     return factory.CreateVectorSearchService();
 });
 
+builder.Services.AddScoped<QdrantProjectDataRepository>();
+builder.Services.AddScoped<MongoProjectDataRepository>();
+builder.Services.AddScoped<ChromaProjectDataRepository>();
+
+builder.Services.AddScoped<IProjectDataRepository>(provider =>
+{
+    var database = builder.Configuration["VectorDatabase:Provider"];
+    if (string.IsNullOrEmpty(database))
+    {
+        throw new InvalidOperationException("VectorDatabase:Provider is not configured.");
+    }
+    else if (database.Equals("Qdrant", StringComparison.OrdinalIgnoreCase))
+    {
+        return provider.GetRequiredService<QdrantProjectDataRepository>();
+    }
+    else if (database.Equals("MongoDB", StringComparison.OrdinalIgnoreCase))
+    {
+        return provider.GetRequiredService<MongoProjectDataRepository>();
+    }
+    else if (database.Equals("Chroma", StringComparison.OrdinalIgnoreCase))
+    {
+        return provider.GetRequiredService<ChromaProjectDataRepository>();
+    }
+    return provider.GetRequiredService<MongoProjectDataRepository>();
+});
+
+builder.Services.AddScoped<QdrantTextDataService>();
+builder.Services.AddScoped<MongoTextDataService>();
+builder.Services.AddScoped<ChromaTextDataService>();
+
+builder.Services.AddScoped<ITextDataService>(provider =>
+{
+    var database = builder.Configuration["VectorDatabase:Provider"];
+    if (string.IsNullOrEmpty(database))
+    {
+        throw new InvalidOperationException("VectorDatabase:Provider is not configured.");
+    }
+    else if (database.Equals("Qdrant", StringComparison.OrdinalIgnoreCase))
+    {
+        return provider.GetRequiredService<QdrantTextDataService>();
+    }
+    else if (database.Equals("MongoDB", StringComparison.OrdinalIgnoreCase))
+    {
+        return provider.GetRequiredService<MongoTextDataService>();
+    }
+    else if (database.Equals("Chroma", StringComparison.OrdinalIgnoreCase))
+    {
+        return provider.GetRequiredService<ChromaTextDataService>();
+    }
+    return provider.GetRequiredService<MongoTextDataService>();
+});
+
 builder.Services.AddSingleton<ChatHistoryService>();
 builder.Services.AddScoped<TextDataRepository>();
-builder.Services.AddScoped<ProjectDataRepository>();
 builder.Services.AddSingleton<TextFilter>();
 
-builder.Services.AddScoped<IResponseService, ResponseRAGService>();
+//builder.Services.AddScoped<IResponseService, ResponseRAGService>();
+builder.Services.AddScoped<ResponseRAGService>();
+builder.Services.AddScoped<HierarchicalRAGService>();
+
+builder.Services.AddScoped<IResponseService>(provider =>
+{
+    var configuration = provider.GetService<IConfiguration>();
+    var useHierarchical = configuration?.GetValue<bool>("Features:UseHierarchicalRAG") ?? false;
+
+    return useHierarchical
+        ? provider.GetRequiredService<HierarchicalRAGService>()
+        : provider.GetRequiredService<ResponseRAGService>();
+});
+
 builder.Services.AddTransient<UserDataRepository>();
 builder.Services.AddTransient<TextData>();
 builder.Services.AddSingleton<CryptUtil>();
@@ -107,11 +175,11 @@ builder.Services.AddSingleton<CryptUtil>();
 //Desktop
 //builder.Services.AddOllamaChatCompletion("llama3.2", new Uri("http://localhost:11434"));
 //Notebook
-var model = "meta-llama/Llama-3.2-3B-Instruct";
-var url = "https://api.deepinfra.com/v1/openai"; // Adicione o /v1/openai
-builder.Services.AddOpenAIChatCompletion(model, new Uri(url), "HedaR4yPrp9N2XSHfwdZjpZvPIxejPFK");
+//var model = "meta-llama/Llama-3.2-3B-Instruct";
+//var url = "https://api.deepinfra.com/v1/openai"; // Adicione o /v1/openai
+//builder.Services.AddOpenAIChatCompletion(model, new Uri(url), "HedaR4yPrp9N2XSHfwdZjpZvPIxejPFK");
 
-//builder.Services.AddOllamaChatCompletion("llama3.2:3b", new Uri("http://localhost:11435"));
+builder.Services.AddOllamaChatCompletion("llama3.2:3b", new Uri("http://localhost:11435"));
 //builder.Services.AddOllamaChatCompletion("llama3.2:1b", new Uri("http://localhost:11435"));
 
 

Services/Contracts/IProjectDataRepository.cs

@@ -0,0 +1,14 @@
+using ChatRAG.Models;
+
+namespace ChatRAG.Services.Contracts
+{
+    public interface IProjectDataRepository
+    {
+        Task<List<Project>> GetAsync();
+        Task<Project?> GetAsync(string id);
+        Task CreateAsync(Project newProject);
+        Task UpdateAsync(string id, Project updatedProject);
+        Task SaveAsync(Project project);
+        Task RemoveAsync(string id);
+    }
+}

Services/ResponseService/0vwtdxh2.jyi~

@@ -0,0 +1,375 @@
+using ChatApi;
+using ChatApi.Models;
+using ChatRAG.Contracts.VectorSearch;
+using ChatRAG.Data;
+using ChatRAG.Models;
+using ChatRAG.Services.Contracts;
+using Microsoft.SemanticKernel;
+using Microsoft.SemanticKernel.ChatCompletion;
+using Microsoft.SemanticKernel.Connectors.OpenAI;
+using Microsoft.SemanticKernel.Embeddings;
+
+#pragma warning disable SKEXP0001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
+namespace ChatRAG.Services.ResponseService
+{
+    public class HierarchicalRAGService : IResponseService
+    {
+        private readonly ChatHistoryService _chatHistoryService;
+        private readonly Kernel _kernel;
+        private readonly TextFilter _textFilter;
+        private readonly ProjectDataRepository _projectDataRepository;
+        private readonly IChatCompletionService _chatCompletionService;
+        private readonly IVectorSearchService _vectorSearchService;
+        private readonly ILogger<HierarchicalRAGService> _logger;
+
+        public HierarchicalRAGService(
+            ChatHistoryService chatHistoryService,
+            Kernel kernel,
+            TextFilter textFilter,
+            ProjectDataRepository projectDataRepository,
+            IChatCompletionService chatCompletionService,
+            IVectorSearchService vectorSearchService,
+            ILogger<HierarchicalRAGService> logger)
+        {
+            _chatHistoryService = chatHistoryService;
+            _kernel = kernel;
+            _textFilter = textFilter;
+            _projectDataRepository = projectDataRepository;
+            _chatCompletionService = chatCompletionService;
+            _vectorSearchService = vectorSearchService;
+            _logger = logger;
+        }
+
+        public async Task<string> GetResponse(UserData userData, string projectId, string sessionId, string question, string language = "pt")
+        {
+            var stopWatch = new System.Diagnostics.Stopwatch();
+            stopWatch.Start();
+
+            try
+            {
+                // 1. Análise da query para determinar estratégia
+                var queryAnalysis = await AnalyzeQuery(question, language);
+                _logger.LogInformation("Query Analysis: {Strategy}, Complexity: {Complexity}",
+                    queryAnalysis.Strategy, queryAnalysis.Complexity);
+
+                // 2. Execução hierárquica baseada na análise
+                var context = await ExecuteHierarchicalSearch(question, projectId, queryAnalysis);
+
+                // 3. Geração da resposta final
+                var response = await GenerateResponse(question, projectId, context, sessionId, language);
+
+                stopWatch.Stop();
+                return $"{response}\n\nTempo: {stopWatch.ElapsedMilliseconds / 1000}s\nEtapas: {context.Steps.Count}";
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro no RAG Hierárquico");
+                stopWatch.Stop();
+                return $"Erro: {ex.Message}\nTempo: {stopWatch.ElapsedMilliseconds / 1000}s";
+            }
+        }
+
+        private async Task<QueryAnalysis> AnalyzeQuery(string question, string language)
+        {
+            var analysisPrompt = language == "pt" ?
+                @"Analise esta pergunta e classifique:
+                PERGUNTA: ""{0}""
+                
+                Responda APENAS no formato JSON:
+                {{
+                    ""strategy"": ""overview|specific|detailed"",
+                    ""complexity"": ""simple|medium|complex"",
+                    ""scope"": ""global|filtered|targeted"",
+                    ""concepts"": [""conceito1"", ""conceito2""],
+                    ""needs_hierarchy"": true|false
+                }}
+                
+                REGRAS:
+                - overview: pergunta sobre projeto inteiro
+                - specific: pergunta sobre módulo/funcionalidade específica  
+                - detailed: pergunta técnica que precisa de contexto profundo
+                - needs_hierarchy: true se precisar de múltiplas buscas" :
+
+                @"Analyze this question and classify:
+                QUESTION: ""{0}""
+                
+                Answer ONLY in JSON format:
+                {{
+                    ""strategy"": ""overview|specific|detailed"",
+                    ""complexity"": ""simple|medium|complex"",
+                    ""scope"": ""global|filtered|targeted"",
+                    ""concepts"": [""concept1"", ""concept2""],
+                    ""needs_hierarchy"": true|false
+                }}
+                
+                RULES:
+                - overview: question about entire project
+                - specific: question about specific module/functionality
+                - detailed: technical question needing deep context
+                - needs_hierarchy: true if needs multiple searches";
+
+            var prompt = string.Format(analysisPrompt, question);
+
+            var executionSettings = new OpenAIPromptExecutionSettings
+            {
+                Temperature = 0.1,
+                MaxTokens = 200
+            };
+
+            var response = await _chatCompletionService.GetChatMessageContentAsync(prompt, executionSettings);
+
+            try
+            {
+                var jsonResponse = response.Content?.Trim() ?? "{}";
+
+                // Extrair JSON se vier com texto extra
+                var startIndex = jsonResponse.IndexOf('{');
+                var endIndex = jsonResponse.LastIndexOf('}');
+                if (startIndex >= 0 && endIndex >= startIndex)
+                {
+                    jsonResponse = jsonResponse.Substring(startIndex, endIndex - startIndex + 1);
+                }
+
+                var analysis = System.Text.Json.JsonSerializer.Deserialize<QueryAnalysis>(jsonResponse);
+                return analysis ?? new QueryAnalysis { Strategy = "specific", Complexity = "medium" };
+            }
+            catch (Exception ex)
+            {
+                _logger.LogWarning(ex, "Erro ao parsear análise da query, usando padrão");
+                return new QueryAnalysis { Strategy = "specific", Complexity = "medium" };
+            }
+        }
+
+        private async Task<HierarchicalContext> ExecuteHierarchicalSearch(string question, string projectId, QueryAnalysis analysis)
+        {
+            var context = new HierarchicalContext();
+            var embeddingService = _kernel.GetRequiredService<ITextEmbeddingGenerationService>();
+
+            switch (analysis.Strategy)
+            {
+                case "overview":
+                    await ExecuteOverviewStrategy(context, question, projectId, embeddingService);
+                    break;
+
+                case "detailed":
+                    await ExecuteDetailedStrategy(context, question, projectId, embeddingService, analysis);
+                    break;
+
+                default: // specific
+                    await ExecuteSpecificStrategy(context, question, projectId, embeddingService);
+                    break;
+            }
+
+            return context;
+        }
+
+        private async Task ExecuteOverviewStrategy(HierarchicalContext context, string question, string projectId, ITextEmbeddingGenerationService embeddingService)
+        {
+            // Etapa 1: Buscar resumos/títulos primeiro
+            context.AddStep("Buscando visão geral do projeto");
+            var overviewResults = await _vectorSearchService.GetDocumentsByProjectAsync(projectId);
+
+            // Etapa 2: Identificar documentos principais baseado na pergunta
+            var questionEmbedding = await embeddingService.GenerateEmbeddingAsync(_textFilter.ToLowerAndWithoutAccents(question));
+            var embeddingArray = questionEmbedding.ToArray().Select(e => (double)e).ToArray();
+
+            context.AddStep("Identificando documentos relevantes");
+            var relevantDocs = await _vectorSearchService.SearchSimilarAsync(embeddingArray, projectId, 0.3, 5);
+
+            context.CombinedContext = $"VISÃO GERAL DO PROJETO:\n{FormatResults(overviewResults.Take(3))}\n\nDOCUMENTOS RELEVANTES:\n{FormatResults(relevantDocs)}";
+        }
+
+        private async Task ExecuteSpecificStrategy(HierarchicalContext context, string question, string projectId, ITextEmbeddingGenerationService embeddingService)
+        {
+            // Etapa 1: Busca inicial por similaridade
+            context.AddStep("Busca inicial por similaridade");
+            var questionEmbedding = await embeddingService.GenerateEmbeddingAsync(_textFilter.ToLowerAndWithoutAccents(question));
+            var embeddingArray = questionEmbedding.ToArray().Select(e => (double)e).ToArray();
+
+            var initialResults = await _vectorSearchService.SearchSimilarAsync(embeddingArray, projectId, 0.4, 3);
+
+            if (initialResults.Any())
+            {
+                context.AddStep("Expandindo contexto com documentos relacionados");
+
+                // Etapa 2: Expandir com contexto relacionado
+                var expandedContext = await ExpandContext(initialResults, projectId, embeddingService);
+                context.CombinedContext = $"CONTEXTO PRINCIPAL:\n{FormatResults(initialResults)}\n\nCONTEXTO EXPANDIDO:\n{FormatResults(expandedContext)}";
+            }
+            else
+            {
+                context.AddStep("Fallback para busca ampla");
+                var fallbackResults = await _vectorSearchService.SearchSimilarAsync(embeddingArray, projectId, 0.2, 5);
+                context.CombinedContext = FormatResults(fallbackResults);
+            }
+        }
+
+        private async Task ExecuteDetailedStrategy(HierarchicalContext context, string question, string projectId, ITextEmbeddingGenerationService embeddingService, QueryAnalysis analysis)
+        {
+            var questionEmbedding = await embeddingService.GenerateEmbeddingAsync(_textFilter.ToLowerAndWithoutAccents(question));
+            var embeddingArray = questionEmbedding.ToArray().Select(e => (double)e).ToArray();
+
+            // Etapa 1: Busca conceitual baseada nos conceitos identificados
+            context.AddStep("Busca conceitual inicial");
+            var conceptualResults = new List<VectorSearchResult>();
+
+            if (analysis.Concepts?.Any() == true)
+            {
+                foreach (var concept in analysis.Concepts)
+                {
+                    var conceptEmbedding = await embeddingService.GenerateEmbeddingAsync(_textFilter.ToLowerAndWithoutAccents(concept));
+                    var conceptArray = conceptEmbedding.ToArray().Select(e => (double)e).ToArray();
+                    var conceptResults = await _vectorSearchService.SearchSimilarAsync(conceptArray, projectId, 0.3, 2);
+                    conceptualResults.AddRange(conceptResults);
+                }
+            }
+
+            // Etapa 2: Busca direta pela pergunta
+            context.AddStep("Busca direta pela pergunta");
+            var directResults = await _vectorSearchService.SearchSimilarAsync(embeddingArray, projectId, 0.3, 3);
+
+            // Etapa 3: Síntese intermediária para identificar lacunas
+            context.AddStep("Identificando lacunas de conhecimento");
+            var intermediateContext = FormatResults(conceptualResults.Concat(directResults).DistinctBy(r => r.Id));
+            var gaps = await IdentifyKnowledgeGaps(question, intermediateContext);
+
+            // Etapa 4: Busca complementar baseada nas lacunas
+            if (!string.IsNullOrEmpty(gaps))
+            {
+                context.AddStep("Preenchendo lacunas de conhecimento");
+                var gapEmbedding = await embeddingService.GenerateEmbeddingAsync(_textFilter.ToLowerAndWithoutAccents(gaps));
+                var gapArray = gapEmbedding.ToArray().Select(e => (double)e).ToArray();
+                var gapResults = await _vectorSearchService.SearchSimilarAsync(gapArray, projectId, 0.25, 2);
+
+                context.CombinedContext = $"CONTEXTO CONCEITUAL:\n{FormatResults(conceptualResults)}\n\nCONTEXTO DIRETO:\n{FormatResults(directResults)}\n\nCONTEXTO COMPLEMENTAR:\n{FormatResults(gapResults)}";
+            }
+            else
+            {
+                context.CombinedContext = $"CONTEXTO CONCEITUAL:\n{FormatResults(conceptualResults)}\n\nCONTEXTO DIRETO:\n{FormatResults(directResults)}";
+            }
+        }
+
+        private async Task<List<VectorSearchResult>> ExpandContext(List<VectorSearchResult> initialResults, string projectId, ITextEmbeddingGenerationService embeddingService)
+        {
+            var expandedResults = new List<VectorSearchResult>();
+
+            // Para cada resultado inicial, buscar documentos relacionados
+            foreach (var result in initialResults.Take(2)) // Limitar para evitar explosão de contexto
+            {
+                var resultEmbedding = await embeddingService.GenerateEmbeddingAsync(_textFilter.ToLowerAndWithoutAccents(result.Content));
+                var embeddingArray = resultEmbedding.ToArray().Select(e => (double)e).ToArray();
+
+                var relatedDocs = await _vectorSearchService.SearchSimilarAsync(embeddingArray, projectId, 0.4, 2);
+                expandedResults.AddRange(relatedDocs.Where(r => !initialResults.Any(ir => ir.Id == r.Id)));
+            }
+
+            return expandedResults.DistinctBy(r => r.Id).ToList();
+        }
+
+        private async Task<string> IdentifyKnowledgeGaps(string question, string currentContext)
+        {
+            var gapPrompt = @"Baseado na pergunta e contexto atual, identifique que informações ainda faltam para uma resposta completa.
+            
+            PERGUNTA: {0}
+            CONTEXTO ATUAL: {1}
+            
+            Responda APENAS com palavras-chave dos conceitos/informações que ainda faltam, separados por vírgula.
+            Se o contexto for suficiente, responda 'SUFICIENTE'.";
+
+            var prompt = string.Format(gapPrompt, question, currentContext.Substring(0, Math.Min(1000, currentContext.Length)));
+
+            var executionSettings = new OpenAIPromptExecutionSettings
+            {
+                Temperature = 0.2,
+                MaxTokens = 100
+            };
+
+            var response = await _chatCompletionService.GetChatMessageContentAsync(prompt, executionSettings);
+            var gaps = response.Content?.Trim() ?? "";
+
+            return gaps.Equals("SUFICIENTE", StringComparison.OrdinalIgnoreCase) ? "" : gaps;
+        }
+
+        private async Task<string> GenerateResponse(string question, string projectId, HierarchicalContext context, string sessionId, string language)
+        {
+            var projectData = await _projectDataRepository.GetAsync(projectId);
+            var project = $"Nome: {projectData.Nome} \n\n Descrição:{projectData.Descricao}";
+
+            var prompt = language == "pt" ?
+                @"Você é um especialista em análise de software e QA.
+                
+                PROJETO: {0}
+                PERGUNTA: ""{1}""
+                CONTEXTO HIERÁRQUICO: {2}
+                ETAPAS EXECUTADAS: {3}
+                
+                Responda à pergunta de forma precisa e estruturada, aproveitando todo o contexto hierárquico coletado." :
+
+                @"You are a software analysis and QA expert.
+                
+                PROJECT: {0}
+                QUESTION: ""{1}""
+                HIERARCHICAL CONTEXT: {2}
+                EXECUTED STEPS: {3}
+                
+                Answer the question precisely and structured, leveraging all the hierarchical context collected.";
+
+            var finalPrompt = string.Format(prompt, project, question, context.CombinedContext,
+                string.Join(" → ", context.Steps));
+
+            var history = _chatHistoryService.GetSumarizer(sessionId);
+            history.AddUserMessage(finalPrompt);
+
+            var executionSettings = new OpenAIPromptExecutionSettings
+            {
+                Temperature = 0.7,
+                TopP = 1.0,
+                FrequencyPenalty = 0,
+                PresencePenalty = 0
+            };
+
+            var response = await _chatCompletionService.GetChatMessageContentAsync(history, executionSettings);
+            history.AddMessage(response.Role, response.Content ?? "");
+            _chatHistoryService.UpdateHistory(sessionId, history);
+
+            return response.Content ?? "";
+        }
+
+        private string FormatResults(IEnumerable<VectorSearchResult> results)
+        {
+            return string.Join("\n\n", results.Select((item, index) =>
+                $"=== DOCUMENTO {index + 1} ===\n" +
+                $"Relevância: {item.Score:P1}\n" +
+                $"Conteúdo: {item.Content}"));
+        }
+
+        public Task<string> GetResponse(UserData userData, string projectId, string sessionId, string question)
+        {
+            return GetResponse(userData, projectId, sessionId, question, "pt");
+        }
+    }
+
+    // Classes de apoio para o RAG Hierárquico
+    public class QueryAnalysis
+    {
+        public string Strategy { get; set; } = "specific";
+        public string Complexity { get; set; } = "medium";
+        public string Scope { get; set; } = "filtered";
+        public string[] Concepts { get; set; } = Array.Empty<string>();
+        public bool Needs_Hierarchy { get; set; } = false;
+    }
+
+    public class HierarchicalContext
+    {
+        public List<string> Steps { get; set; } = new();
+        public string CombinedContext { get; set; } = "";
+        public Dictionary<string, object> Metadata { get; set; } = new();
+
+        public void AddStep(string step)
+        {
+            Steps.Add($"{DateTime.Now:HH:mm:ss} - {step}");
+        }
+    }
+
+}
+#pragma warning restore SKEXP0001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.

Services/ResponseService/HierarchicalRAGService.cs

@@ -0,0 +1,546 @@
+using ChatApi;
+using ChatApi.Models;
+using ChatRAG.Contracts.VectorSearch;
+using ChatRAG.Data;
+using ChatRAG.Models;
+using ChatRAG.Services.Contracts;
+using Microsoft.SemanticKernel;
+using Microsoft.SemanticKernel.ChatCompletion;
+using Microsoft.SemanticKernel.Connectors.OpenAI;
+using Microsoft.SemanticKernel.Embeddings;
+using System.Text.Json;
+
+#pragma warning disable SKEXP0001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
+namespace ChatRAG.Services.ResponseService
+{
+    public class HierarchicalRAGService : IResponseService
+    {
+        private readonly ChatHistoryService _chatHistoryService;
+        private readonly Kernel _kernel;
+        private readonly TextFilter _textFilter;
+        private readonly IProjectDataRepository _projectDataRepository;
+        private readonly IChatCompletionService _chatCompletionService;
+        private readonly IVectorSearchService _vectorSearchService;
+        private readonly ILogger<HierarchicalRAGService> _logger;
+
+        public HierarchicalRAGService(
+            ChatHistoryService chatHistoryService,
+            Kernel kernel,
+            TextFilter textFilter,
+            IProjectDataRepository projectDataRepository,
+            IChatCompletionService chatCompletionService,
+            IVectorSearchService vectorSearchService,
+            ILogger<HierarchicalRAGService> logger)
+        {
+            _chatHistoryService = chatHistoryService;
+            _kernel = kernel;
+            _textFilter = textFilter;
+            _projectDataRepository = projectDataRepository;
+            _chatCompletionService = chatCompletionService;
+            _vectorSearchService = vectorSearchService;
+            _logger = logger;
+        }
+
+        public async Task<string> GetResponse(UserData userData, string projectId, string sessionId, string question, string language = "pt")
+        {
+            var stopWatch = new System.Diagnostics.Stopwatch();
+            stopWatch.Start();
+
+            try
+            {
+                // 1. Análise da query para determinar estratégia
+                var queryAnalysis = await AnalyzeQuery(question, language);
+                _logger.LogInformation("Query Analysis: {Strategy}, Complexity: {Complexity}",
+                    queryAnalysis.Strategy, queryAnalysis.Complexity);
+
+                // 2. Execução hierárquica baseada na análise
+                var context = await ExecuteHierarchicalSearch(question, projectId, queryAnalysis);
+
+                // 3. Geração da resposta final
+                var response = await GenerateResponse(question, projectId, context, sessionId, language);
+
+                stopWatch.Stop();
+                return $"{response}\n\nTempo: {stopWatch.ElapsedMilliseconds / 1000}s\nEtapas: {context.Steps.Count}";
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro no RAG Hierárquico");
+                stopWatch.Stop();
+                return $"Erro: {ex.Message}\nTempo: {stopWatch.ElapsedMilliseconds / 1000}s";
+            }
+        }
+
+        private async Task<QueryAnalysis> AnalyzeQuery(string question, string language)
+        {
+            var analysisPrompt = language == "pt" ?
+                @"Analise esta pergunta e classifique com precisão:
+        PERGUNTA: ""{0}""
+        
+        Responda APENAS no formato JSON:
+        {{
+            ""strategy"": ""overview|specific|detailed"",
+            ""complexity"": ""simple|medium|complex"",
+            ""scope"": ""global|filtered|targeted"",
+            ""concepts"": [""conceito1"", ""conceito2""],
+            ""needs_hierarchy"": true|false
+        }}
+        
+        DEFINIÇÕES PRECISAS:
+        
+        STRATEGY:
+        - overview: Pergunta sobre o PROJETO COMO UM TODO. Palavras-chave: ""projeto"", ""sistema"", ""aplicação"", ""este projeto"", ""todo o"", ""geral"", ""inteiro"". NÃO menciona módulos, funcionalidades ou tecnologias específicas.
+        - specific: Pergunta sobre MÓDULO/FUNCIONALIDADE ESPECÍFICA. Menciona: nome de classe, controller, entidade, CRUD específico, funcionalidade particular, tecnologia específica.
+        - detailed: Pergunta técnica específica que precisa de CONTEXTO PROFUNDO e detalhes de implementação.
+        
+        SCOPE:
+        - global: Busca informações de TODO o projeto (usar com overview)
+        - filtered: Busca com filtros específicos (usar com specific/detailed)
+        - targeted: Busca muito específica e direcionada
+        
+        EXEMPLOS:
+        - ""Gere casos de teste para este projeto"" → overview/global
+        - ""Gere casos de teste do projeto"" → overview/global  
+        - ""Gere casos de teste para o CRUD de usuário"" → specific/filtered
+        - ""Como implementar autenticação JWT neste controller"" → detailed/targeted
+        - ""Documente este sistema"" → overview/global
+        - ""Explique a classe UserService"" → specific/filtered" :
+
+                @"Analyze this question and classify precisely:
+        QUESTION: ""{0}""
+        
+        Answer ONLY in JSON format:
+        {{
+            ""strategy"": ""overview|specific|detailed"",
+            ""complexity"": ""simple|medium|complex"",
+            ""scope"": ""global|filtered|targeted"",
+            ""concepts"": [""concept1"", ""concept2""],
+            ""needs_hierarchy"": true|false
+        }}
+        
+        PRECISE DEFINITIONS:
+        
+        STRATEGY:
+        - overview: Question about the PROJECT AS A WHOLE. Keywords: ""project"", ""system"", ""application"", ""this project"", ""entire"", ""general"", ""whole"". Does NOT mention specific modules, functionalities or technologies.
+        - specific: Question about SPECIFIC MODULE/FUNCTIONALITY. Mentions: class name, controller, entity, specific CRUD, particular functionality, specific technology.
+        - detailed: Technical specific question needing DEEP CONTEXT and implementation details.
+        
+        SCOPE:
+        - global: Search information from ENTIRE project (use with overview)
+        - filtered: Search with specific filters (use with specific/detailed)
+        - targeted: Very specific and directed search
+        
+        EXAMPLES:
+        - ""Generate test cases for this project"" → overview/global
+        - ""Generate test cases for user CRUD"" → specific/filtered
+        - ""How to implement JWT authentication in this controller"" → detailed/targeted
+        - ""Document this system"" → overview/global
+        - ""Explain the UserService class"" → specific/filtered";
+
+            var prompt = string.Format(analysisPrompt, question);
+            var executionSettings = new OpenAIPromptExecutionSettings
+            {
+                Temperature = 0.1,
+                MaxTokens = 300 // Aumentei um pouco para acomodar o prompt maior
+            };
+            var response = await _chatCompletionService.GetChatMessageContentAsync(prompt, executionSettings);
+
+            try
+            {
+                var jsonResponse = response.Content?.Trim() ?? "{}";
+                // Extrair JSON se vier com texto extra
+                var startIndex = jsonResponse.IndexOf('{');
+                var endIndex = jsonResponse.LastIndexOf('}');
+                if (startIndex >= 0 && endIndex >= startIndex)
+                {
+                    jsonResponse = jsonResponse.Substring(startIndex, endIndex - startIndex + 1);
+                }
+
+                var options = new JsonSerializerOptions
+                {
+                    PropertyNameCaseInsensitive = true,
+                    PropertyNamingPolicy = JsonNamingPolicy.CamelCase
+                };
+
+                var analysis = System.Text.Json.JsonSerializer.Deserialize<QueryAnalysis>(jsonResponse, options);
+
+                // Log para debug - remover em produção
+                _logger.LogInformation($"Query: '{question}' → Strategy: {analysis?.Strategy}, Scope: {analysis?.Scope}");
+
+                return analysis ?? new QueryAnalysis { Strategy = "specific", Complexity = "medium" };
+            }
+            catch (Exception ex)
+            {
+                _logger.LogWarning(ex, "Erro ao parsear análise da query, usando padrão");
+                return new QueryAnalysis { Strategy = "specific", Complexity = "medium" };
+            }
+        }
+
+        private async Task<HierarchicalContext> ExecuteHierarchicalSearch(string question, string projectId, QueryAnalysis analysis)
+        {
+            var context = new HierarchicalContext();
+            var embeddingService = _kernel.GetRequiredService<ITextEmbeddingGenerationService>();
+
+            switch (analysis.Strategy)
+            {
+                case "overview":
+                    await ExecuteOverviewStrategy(context, question, projectId, embeddingService);
+                    break;
+
+                case "detailed":
+                    await ExecuteDetailedStrategy(context, question, projectId, embeddingService, analysis);
+                    break;
+
+                default: // specific
+                    await ExecuteSpecificStrategy(context, question, projectId, embeddingService);
+                    break;
+            }
+
+            return context;
+        }
+
+        private async Task ExecuteOverviewStrategy(HierarchicalContext context, string question, string projectId, ITextEmbeddingGenerationService embeddingService)
+        {
+            // Etapa 1: Buscar TODOS os documentos do projeto
+            context.AddStep("Buscando todos os documentos do projeto");
+            var allProjectDocs = await _vectorSearchService.GetDocumentsByProjectAsync(projectId);
+
+            // Etapa 2: Categorizar documentos por tipo/importância
+            context.AddStep("Categorizando e resumindo contexto do projeto");
+
+            // Etapa 2: Categorizar documentos por tipo baseado nos seus dados reais
+            context.AddStep("Categorizando e resumindo contexto do projeto");
+
+            var requirementsDocs = allProjectDocs.Where(d =>
+                d.Title.ToLower().StartsWith("requisito") ||
+                d.Title.ToLower().Contains("requisito") ||
+                d.Content.ToLower().Contains("requisito") ||
+                d.Content.ToLower().Contains("funcionalidade") ||
+                d.Content.ToLower().Contains("aplicação deve") ||
+                d.Content.ToLower().Contains("sistema deve")).ToList();
+
+            var architectureDocs = allProjectDocs.Where(d =>
+                d.Title.ToLower().Contains("arquitetura") ||
+                d.Title.ToLower().Contains("estrutura") ||
+                d.Title.ToLower().Contains("documentação") ||
+                d.Title.ToLower().Contains("readme") ||
+                d.Content.ToLower().Contains("arquitetura") ||
+                d.Content.ToLower().Contains("estrutura") ||
+                d.Content.ToLower().Contains("tecnologia")).ToList();
+
+            // Documentos que não são requisitos nem arquitetura (códigos, outros docs)
+            var otherDocs = allProjectDocs
+                .Except(requirementsDocs)
+                .Except(architectureDocs)
+                .ToList();
+
+            // Etapa 3: Resumir cada categoria se tiver muitos documentos
+            var requirementsSummary = await SummarizeDocuments(requirementsDocs, "requisitos e funcionalidades do projeto");
+            var architectureSummary = await SummarizeDocuments(architectureDocs, "arquitetura e documentação técnica");
+            var otherSummary = await SummarizeDocuments(otherDocs, "outros documentos do projeto");
+
+            // Etapa 4: Busca específica para a pergunta (mantém precisão)
+            var questionEmbedding = await embeddingService.GenerateEmbeddingAsync(_textFilter.ToLowerAndWithoutAccents(question));
+            var embeddingArray = questionEmbedding.ToArray().Select(e => (double)e).ToArray();
+
+            context.AddStep("Identificando documentos específicos para a pergunta");
+            var relevantDocs = await _vectorSearchService.SearchSimilarAsync(embeddingArray, projectId, 0.3, 8);
+
+            // Etapa 5: Combinar resumos + documentos específicos
+            var contextParts = new List<string>();
+
+            if (!string.IsNullOrEmpty(requirementsSummary))
+                contextParts.Add($"RESUMO DOS REQUISITOS E FUNCIONALIDADES:\n{requirementsSummary}");
+
+            if (!string.IsNullOrEmpty(architectureSummary))
+                contextParts.Add($"RESUMO DA ARQUITETURA E DOCUMENTAÇÃO:\n{architectureSummary}");
+
+            if (!string.IsNullOrEmpty(otherSummary))
+                contextParts.Add($"OUTROS DOCUMENTOS DO PROJETO:\n{otherSummary}");
+
+            contextParts.Add($"DOCUMENTOS MAIS RELEVANTES PARA A PERGUNTA:\n{FormatResults(relevantDocs)}");
+
+            context.CombinedContext = string.Join("\n\n", contextParts);
+        }
+
+        private async Task<string> SummarizeDocuments(List<VectorSearchResult> documents, string category)
+        {
+            if (!documents.Any()) return string.Empty;
+
+            // Se poucos documentos, usar todos sem resumir
+            if (documents.Count <= 3)
+            {
+                return FormatResults(documents);
+            }
+
+            // Se muitos documentos, resumir em chunks
+            var chunks = documents.Chunk(5).ToList(); // Grupos de 5 documentos
+            var tasks = new List<Task<string>>();
+
+            // Semáforo para controlar concorrência (máximo 3 chamadas simultâneas)
+            var semaphore = new SemaphoreSlim(3, 3);
+
+            foreach (var chunk in chunks)
+            {
+                var chunkContent = FormatResults(chunk);
+
+                tasks.Add(Task.Run(async () =>
+                {
+                    await semaphore.WaitAsync();
+                    try
+                    {
+                        var summaryPrompt = $@"Resuma os pontos principais destes documentos sobre {category}:
+
+                            {chunkContent}
+
+                            Responda apenas com uma lista concisa dos pontos mais importantes:";
+
+                        var response = await _chatCompletionService.GetChatMessageContentAsync(
+                            summaryPrompt,
+                            new OpenAIPromptExecutionSettings
+                            {
+                                Temperature = 0.1,
+                                MaxTokens = 300
+                            });
+
+                        return response.Content ?? string.Empty;
+                    }
+                    catch (Exception ex)
+                    {
+                        _logger.LogWarning(ex, $"Erro ao resumir chunk de {category}, usando conteúdo original");
+                        return chunkContent;
+                    }
+                    finally
+                    {
+                        semaphore.Release();
+                    }
+                }));
+            }
+
+            // Aguardar todas as tasks de resumo
+            var summaries = await Task.WhenAll(tasks);
+            var validSummaries = summaries.Where(s => !string.IsNullOrEmpty(s)).ToList();
+
+            // Se tiver múltiplos resumos, consolidar
+            if (validSummaries.Count > 1)
+            {
+                var consolidationPrompt = $@"Consolide estes resumos sobre {category} em um resumo final:
+
+                    {string.Join("\n\n", validSummaries)}
+
+                    Responda com os pontos mais importantes organizados:";
+
+                try
+                {
+                    var finalResponse = await _chatCompletionService.GetChatMessageContentAsync(
+                        consolidationPrompt,
+                        new OpenAIPromptExecutionSettings
+                        {
+                            Temperature = 0.1,
+                            MaxTokens = 400
+                        });
+
+                    return finalResponse.Content ?? string.Empty;
+                }
+                catch
+                {
+                    return string.Join("\n\n", validSummaries);
+                }
+            }
+
+            return validSummaries.FirstOrDefault() ?? string.Empty;
+        }
+
+        private async Task ExecuteSpecificStrategy(HierarchicalContext context, string question, string projectId, ITextEmbeddingGenerationService embeddingService)
+        {
+            // Etapa 1: Busca inicial por similaridade
+            context.AddStep("Busca inicial por similaridade");
+            var questionEmbedding = await embeddingService.GenerateEmbeddingAsync(_textFilter.ToLowerAndWithoutAccents(question));
+            var embeddingArray = questionEmbedding.ToArray().Select(e => (double)e).ToArray();
+
+            var initialResults = await _vectorSearchService.SearchSimilarAsync(embeddingArray, projectId, 0.4, 3);
+
+            if (initialResults.Any())
+            {
+                context.AddStep("Expandindo contexto com documentos relacionados");
+
+                // Etapa 2: Expandir com contexto relacionado
+                var expandedContext = await ExpandContext(initialResults, projectId, embeddingService);
+                context.CombinedContext = $"CONTEXTO PRINCIPAL:\n{FormatResults(initialResults)}\n\nCONTEXTO EXPANDIDO:\n{FormatResults(expandedContext)}";
+            }
+            else
+            {
+                context.AddStep("Fallback para busca ampla");
+                var fallbackResults = await _vectorSearchService.SearchSimilarAsync(embeddingArray, projectId, 0.2, 5);
+                context.CombinedContext = FormatResults(fallbackResults);
+            }
+        }
+
+        private async Task ExecuteDetailedStrategy(HierarchicalContext context, string question, string projectId, ITextEmbeddingGenerationService embeddingService, QueryAnalysis analysis)
+        {
+            var questionEmbedding = await embeddingService.GenerateEmbeddingAsync(_textFilter.ToLowerAndWithoutAccents(question));
+            var embeddingArray = questionEmbedding.ToArray().Select(e => (double)e).ToArray();
+
+            // Etapa 1: Busca conceitual baseada nos conceitos identificados
+            context.AddStep("Busca conceitual inicial");
+            var conceptualResults = new List<VectorSearchResult>();
+
+            if (analysis.Concepts?.Any() == true)
+            {
+                foreach (var concept in analysis.Concepts)
+                {
+                    var conceptEmbedding = await embeddingService.GenerateEmbeddingAsync(_textFilter.ToLowerAndWithoutAccents(concept));
+                    var conceptArray = conceptEmbedding.ToArray().Select(e => (double)e).ToArray();
+                    var conceptResults = await _vectorSearchService.SearchSimilarAsync(conceptArray, projectId, 0.3, 2);
+                    conceptualResults.AddRange(conceptResults);
+                }
+            }
+
+            // Etapa 2: Busca direta pela pergunta
+            context.AddStep("Busca direta pela pergunta");
+            var directResults = await _vectorSearchService.SearchSimilarAsync(embeddingArray, projectId, 0.3, 3);
+
+            // Etapa 3: Síntese intermediária para identificar lacunas
+            context.AddStep("Identificando lacunas de conhecimento");
+            var intermediateContext = FormatResults(conceptualResults.Concat(directResults).DistinctBy(r => r.Id));
+            var gaps = await IdentifyKnowledgeGaps(question, intermediateContext);
+
+            // Etapa 4: Busca complementar baseada nas lacunas
+            if (!string.IsNullOrEmpty(gaps))
+            {
+                context.AddStep("Preenchendo lacunas de conhecimento");
+                var gapEmbedding = await embeddingService.GenerateEmbeddingAsync(_textFilter.ToLowerAndWithoutAccents(gaps));
+                var gapArray = gapEmbedding.ToArray().Select(e => (double)e).ToArray();
+                var gapResults = await _vectorSearchService.SearchSimilarAsync(gapArray, projectId, 0.25, 2);
+
+                context.CombinedContext = $"CONTEXTO CONCEITUAL:\n{FormatResults(conceptualResults)}\n\nCONTEXTO DIRETO:\n{FormatResults(directResults)}\n\nCONTEXTO COMPLEMENTAR:\n{FormatResults(gapResults)}";
+            }
+            else
+            {
+                context.CombinedContext = $"CONTEXTO CONCEITUAL:\n{FormatResults(conceptualResults)}\n\nCONTEXTO DIRETO:\n{FormatResults(directResults)}";
+            }
+        }
+
+        private async Task<List<VectorSearchResult>> ExpandContext(List<VectorSearchResult> initialResults, string projectId, ITextEmbeddingGenerationService embeddingService)
+        {
+            var expandedResults = new List<VectorSearchResult>();
+
+            // Para cada resultado inicial, buscar documentos relacionados
+            foreach (var result in initialResults.Take(2)) // Limitar para evitar explosão de contexto
+            {
+                var resultEmbedding = await embeddingService.GenerateEmbeddingAsync(_textFilter.ToLowerAndWithoutAccents(result.Content));
+                var embeddingArray = resultEmbedding.ToArray().Select(e => (double)e).ToArray();
+
+                var relatedDocs = await _vectorSearchService.SearchSimilarAsync(embeddingArray, projectId, 0.4, 2);
+                expandedResults.AddRange(relatedDocs.Where(r => !initialResults.Any(ir => ir.Id == r.Id)));
+            }
+
+            return expandedResults.DistinctBy(r => r.Id).ToList();
+        }
+
+        private async Task<string> IdentifyKnowledgeGaps(string question, string currentContext)
+        {
+            var gapPrompt = @"Baseado na pergunta e contexto atual, identifique que informações ainda faltam para uma resposta completa.
+            
+            PERGUNTA: {0}
+            CONTEXTO ATUAL: {1}
+            
+            Responda APENAS com palavras-chave dos conceitos/informações que ainda faltam, separados por vírgula.
+            Se o contexto for suficiente, responda 'SUFICIENTE'.";
+
+            var prompt = string.Format(gapPrompt, question, currentContext.Substring(0, Math.Min(1000, currentContext.Length)));
+
+            var executionSettings = new OpenAIPromptExecutionSettings
+            {
+                Temperature = 0.2,
+                MaxTokens = 100
+            };
+
+            var response = await _chatCompletionService.GetChatMessageContentAsync(prompt, executionSettings);
+            var gaps = response.Content?.Trim() ?? "";
+
+            return gaps.Equals("SUFICIENTE", StringComparison.OrdinalIgnoreCase) ? "" : gaps;
+        }
+
+        private async Task<string> GenerateResponse(string question, string projectId, HierarchicalContext context, string sessionId, string language)
+        {
+            var projectData = await _projectDataRepository.GetAsync(projectId);
+            var project = $"Nome: {projectData.Nome} \n\n Descrição:{projectData.Descricao}";
+
+            var prompt = language == "pt" ?
+                @"Você é um especialista em análise de software e QA.
+                
+                PROJETO: {0}
+                PERGUNTA: ""{1}""
+                CONTEXTO HIERÁRQUICO: {2}
+                ETAPAS EXECUTADAS: {3}
+                
+                Responda à pergunta de forma precisa e estruturada, aproveitando todo o contexto hierárquico coletado." :
+
+                @"You are a software analysis and QA expert.
+                
+                PROJECT: {0}
+                QUESTION: ""{1}""
+                HIERARCHICAL CONTEXT: {2}
+                EXECUTED STEPS: {3}
+                
+                Answer the question precisely and structured, leveraging all the hierarchical context collected.";
+
+            var finalPrompt = string.Format(prompt, project, question, context.CombinedContext,
+                string.Join(" → ", context.Steps));
+
+            var history = _chatHistoryService.GetSumarizer(sessionId);
+            history.AddUserMessage(finalPrompt);
+
+            var executionSettings = new OpenAIPromptExecutionSettings
+            {
+                Temperature = 0.7,
+                TopP = 1.0,
+                FrequencyPenalty = 0,
+                PresencePenalty = 0
+            };
+
+            var response = await _chatCompletionService.GetChatMessageContentAsync(history, executionSettings);
+            history.AddMessage(response.Role, response.Content ?? "");
+            _chatHistoryService.UpdateHistory(sessionId, history);
+
+            return response.Content ?? "";
+        }
+
+        private string FormatResults(IEnumerable<VectorSearchResult> results)
+        {
+            return string.Join("\n\n", results.Select((item, index) =>
+                $"=== DOCUMENTO {index + 1} ===\n" +
+                $"Relevância: {item.Score:P1}\n" +
+                $"Conteúdo: {item.Content}"));
+        }
+
+        public Task<string> GetResponse(UserData userData, string projectId, string sessionId, string question)
+        {
+            return GetResponse(userData, projectId, sessionId, question, "pt");
+        }
+    }
+
+    // Classes de apoio para o RAG Hierárquico
+    public class QueryAnalysis
+    {
+        public string Strategy { get; set; } = "specific";
+        public string Complexity { get; set; } = "medium";
+        public string Scope { get; set; } = "filtered";
+        public string[] Concepts { get; set; } = Array.Empty<string>();
+        public bool Needs_Hierarchy { get; set; } = false;
+    }
+
+    public class HierarchicalContext
+    {
+        public List<string> Steps { get; set; } = new();
+        public string CombinedContext { get; set; } = "";
+        public Dictionary<string, object> Metadata { get; set; } = new();
+
+        public void AddStep(string step)
+        {
+            Steps.Add($"{DateTime.Now:HH:mm:ss} - {step}");
+        }
+    }
+
+}
+#pragma warning restore SKEXP0001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.

Services/ResponseService/ResponseCompanyService.cs

@@ -20,7 +20,7 @@ namespace ChatRAG.Services.ResponseService
         private readonly Kernel _kernel;
         private readonly TextFilter _textFilter;
         private readonly TextDataRepository _textDataRepository;
-        private readonly ProjectDataRepository _projectDataRepository;
+        private readonly IProjectDataRepository _projectDataRepository;
         private readonly IChatCompletionService _chatCompletionService;
         private readonly IVectorSearchService _vectorSearchService;
 
@@ -29,7 +29,7 @@ namespace ChatRAG.Services.ResponseService
             Kernel kernel,
             TextFilter textFilter,
             TextDataRepository textDataRepository,
-            ProjectDataRepository projectDataRepository,
+            IProjectDataRepository projectDataRepository,
             IChatCompletionService chatCompletionService,
             IVectorSearchService vectorSearchService, 
             ITextDataService textDataService)

Services/SearchVectors/ChromaVectorSearchService.cs

@@ -0,0 +1,651 @@
+using ChatRAG.Contracts.VectorSearch;
+using ChatRAG.Models;
+using Microsoft.Extensions.Options;
+using System.Text;
+using System.Text.Json;
+using Microsoft.SemanticKernel.Embeddings;
+using ChatRAG.Settings.ChatRAG.Configuration;
+
+namespace ChatRAG.Services.SearchVectors
+{
+    public class ChromaVectorSearchService : IVectorSearchService
+    {
+        private readonly HttpClient _httpClient;
+        private readonly ILogger<ChromaVectorSearchService> _logger;
+        private readonly ChromaSettings _settings;
+        private readonly string _collectionName;
+
+        public ChromaVectorSearchService(
+            IOptions<VectorDatabaseSettings> settings,
+            ILogger<ChromaVectorSearchService> logger,
+            HttpClient httpClient)
+        {
+            _settings = settings.Value.Chroma ?? throw new ArgumentNullException("Chroma settings not configured");
+            _logger = logger;
+            _httpClient = httpClient;
+            _httpClient.BaseAddress = new Uri($"http://{_settings.Host}:{_settings.Port}");
+            _collectionName = _settings.CollectionName;
+
+            InitializeAsync().GetAwaiter().GetResult();
+        }
+
+        private async Task InitializeAsync()
+        {
+            try
+            {
+                // Verificar se a collection existe, se não, criar
+                var collections = await GetCollectionsAsync();
+                if (!collections.Contains(_collectionName))
+                {
+                    await CreateCollectionAsync();
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao inicializar Chroma");
+                throw;
+            }
+        }
+
+        // ========================================
+        // BUSCA VETORIAL
+        // ========================================
+
+        public async Task<List<VectorSearchResult>> SearchSimilarAsync(
+            double[] queryEmbedding,
+            string? projectId = null,
+            double threshold = 0.3,
+            int limit = 5,
+            Dictionary<string, object>? filters = null)
+        {
+            try
+            {
+                // Construir filtros WHERE
+                var whereClause = BuildWhereClause(projectId, filters);
+
+                var query = new
+                {
+                    query_embeddings = new[] { queryEmbedding },
+                    n_results = limit,
+                    where = whereClause,
+                    include = new[] { "documents", "metadatas", "distances" }
+                };
+
+                var json = JsonSerializer.Serialize(query);
+                var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+                var response = await _httpClient.PostAsync($"/api/v1/collections/{_collectionName}/query", content);
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    var error = await response.Content.ReadAsStringAsync();
+                    _logger.LogError("Erro na busca Chroma: {Error}", error);
+                    return new List<VectorSearchResult>();
+                }
+
+                var result = await response.Content.ReadAsStringAsync();
+                var queryResult = JsonSerializer.Deserialize<ChromaQueryResult>(result);
+
+                return ParseQueryResults(queryResult, threshold);
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao buscar similares no Chroma");
+                return new List<VectorSearchResult>();
+            }
+        }
+
+        public async Task<List<VectorSearchResult>> SearchSimilarDynamicAsync(
+            double[] queryEmbedding,
+            string projectId,
+            double minThreshold = 0.5,
+            int limit = 5)
+        {
+            // Estratégia 1: Busca com threshold alto
+            var results = await SearchSimilarAsync(queryEmbedding, projectId, minThreshold, limit);
+
+            if (results.Count >= limit)
+            {
+                return results.Take(limit).ToList();
+            }
+
+            // Estratégia 2: Relaxar threshold se não conseguiu o suficiente
+            if (results.Count < limit && minThreshold > 0.35)
+            {
+                var mediumResults = await SearchSimilarAsync(queryEmbedding, projectId, 0.35, limit * 2);
+                if (mediumResults.Count >= limit)
+                {
+                    return mediumResults.Take(limit).ToList();
+                }
+                results = mediumResults;
+            }
+
+            // Estratégia 3: Threshold baixo como último recurso
+            if (results.Count < limit && minThreshold > 0.2)
+            {
+                var lowResults = await SearchSimilarAsync(queryEmbedding, projectId, 0.2, limit * 3);
+                results = lowResults;
+            }
+
+            return results.Take(limit).ToList();
+        }
+
+        // ========================================
+        // CRUD DE DOCUMENTOS
+        // ========================================
+
+        public async Task<string> AddDocumentAsync(
+            string title,
+            string content,
+            string projectId,
+            double[] embedding,
+            Dictionary<string, object>? metadata = null)
+        {
+            try
+            {
+                var documentId = Guid.NewGuid().ToString();
+
+                var combinedMetadata = new Dictionary<string, object>
+                {
+                    ["title"] = title,
+                    ["project_id"] = projectId,
+                    ["created_at"] = DateTime.UtcNow.ToString("O")
+                };
+
+                if (metadata != null)
+                {
+                    foreach (var kvp in metadata)
+                    {
+                        combinedMetadata[kvp.Key] = kvp.Value;
+                    }
+                }
+
+                var document = new
+                {
+                    ids = new[] { documentId },
+                    documents = new[] { content },
+                    metadatas = new[] { combinedMetadata },
+                    embeddings = new[] { embedding }
+                };
+
+                var json = JsonSerializer.Serialize(document);
+                var requestContent = new StringContent(json, Encoding.UTF8, "application/json");
+
+                var response = await _httpClient.PostAsync($"/api/v1/collections/{_collectionName}/add", requestContent);
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    var error = await response.Content.ReadAsStringAsync();
+                    throw new Exception($"Erro ao adicionar documento: {error}");
+                }
+
+                return documentId;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao adicionar documento no Chroma");
+                throw;
+            }
+        }
+
+        public async Task UpdateDocumentAsync(
+            string id,
+            string title,
+            string content,
+            string projectId,
+            double[] embedding,
+            Dictionary<string, object>? metadata = null)
+        {
+            try
+            {
+                // Chroma não tem update direto, então fazemos delete + add
+                await DeleteDocumentAsync(id);
+
+                var combinedMetadata = new Dictionary<string, object>
+                {
+                    ["title"] = title,
+                    ["project_id"] = projectId,
+                    ["updated_at"] = DateTime.UtcNow.ToString("O")
+                };
+
+                if (metadata != null)
+                {
+                    foreach (var kvp in metadata)
+                    {
+                        combinedMetadata[kvp.Key] = kvp.Value;
+                    }
+                }
+
+                var document = new
+                {
+                    ids = new[] { id },
+                    documents = new[] { content },
+                    metadatas = new[] { combinedMetadata },
+                    embeddings = new[] { embedding }
+                };
+
+                var json = JsonSerializer.Serialize(document);
+                var requestContent = new StringContent(json, Encoding.UTF8, "application/json");
+
+                var response = await _httpClient.PostAsync($"/api/v1/collections/{_collectionName}/upsert", requestContent);
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    var error = await response.Content.ReadAsStringAsync();
+                    throw new Exception($"Erro ao atualizar documento: {error}");
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao atualizar documento no Chroma");
+                throw;
+            }
+        }
+
+        public async Task DeleteDocumentAsync(string id)
+        {
+            try
+            {
+                var deleteRequest = new
+                {
+                    ids = new[] { id }
+                };
+
+                var json = JsonSerializer.Serialize(deleteRequest);
+                var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+                var response = await _httpClient.PostAsync($"/api/v1/collections/{_collectionName}/delete", content);
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    var error = await response.Content.ReadAsStringAsync();
+                    _logger.LogWarning("Erro ao deletar documento {Id}: {Error}", id, error);
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao deletar documento {Id} no Chroma", id);
+                throw;
+            }
+        }
+
+        // ========================================
+        // CONSULTAS AUXILIARES
+        // ========================================
+
+        public async Task<bool> DocumentExistsAsync(string id)
+        {
+            try
+            {
+                var doc = await GetDocumentAsync(id);
+                return doc != null;
+            }
+            catch
+            {
+                return false;
+            }
+        }
+
+        public async Task<VectorSearchResult?> GetDocumentAsync(string id)
+        {
+            try
+            {
+                var query = new
+                {
+                    ids = new[] { id },
+                    include = new[] { "documents", "metadatas" }
+                };
+
+                var json = JsonSerializer.Serialize(query);
+                var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+                var response = await _httpClient.PostAsync($"/api/v1/collections/{_collectionName}/get", content);
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    return null;
+                }
+
+                var result = await response.Content.ReadAsStringAsync();
+                var getResult = JsonSerializer.Deserialize<ChromaGetResult>(result);
+
+                if (getResult?.ids?.Length > 0)
+                {
+                    return new VectorSearchResult
+                    {
+                        Id = getResult.ids[0],
+                        Content = getResult.documents?[0] ?? "",
+                        Score = 1.0,
+                        Metadata = getResult.metadatas?[0]
+                    };
+                }
+
+                return null;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao buscar documento {Id} no Chroma", id);
+                return null;
+            }
+        }
+
+        public async Task<List<VectorSearchResult>> GetDocumentsByProjectAsync(string projectId)
+        {
+            try
+            {
+                var query = new
+                {
+                    where = new { project_id = projectId },
+                    include = new[] { "documents", "metadatas" }
+                };
+
+                var json = JsonSerializer.Serialize(query);
+                var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+                var response = await _httpClient.PostAsync($"/api/v1/collections/{_collectionName}/get", content);
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    var error = await response.Content.ReadAsStringAsync();
+                    _logger.LogError("Erro ao buscar documentos do projeto {ProjectId}: {Error}", projectId, error);
+                    return new List<VectorSearchResult>();
+                }
+
+                var result = await response.Content.ReadAsStringAsync();
+                var getResult = JsonSerializer.Deserialize<ChromaGetResult>(result);
+
+                var results = new List<VectorSearchResult>();
+
+                if (getResult?.documents?.Length > 0)
+                {
+                    for (int i = 0; i < getResult.documents.Length; i++)
+                    {
+                        results.Add(new VectorSearchResult
+                        {
+                            Id = getResult.ids[i],
+                            Content = getResult.documents[i],
+                            Score = 1.0, // Todos os documentos do projeto
+                            Metadata = getResult.metadatas?[i]
+                        });
+                    }
+                }
+
+                return results;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao buscar documentos do projeto {ProjectId} no Chroma", projectId);
+                return new List<VectorSearchResult>();
+            }
+        }
+
+        public async Task<int> GetDocumentCountAsync(string? projectId = null)
+        {
+            try
+            {
+                var query = new
+                {
+                    where = projectId != null ? new { project_id = projectId } : null
+                };
+
+                var json = JsonSerializer.Serialize(query);
+                var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+                var response = await _httpClient.PostAsync($"/api/v1/collections/{_collectionName}/count", content);
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    _logger.LogWarning("Erro ao contar documentos no Chroma");
+                    return 0;
+                }
+
+                var result = await response.Content.ReadAsStringAsync();
+                var countResult = JsonSerializer.Deserialize<ChromaCountResult>(result);
+                return countResult?.count ?? 0;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao contar documentos no Chroma");
+                return 0;
+            }
+        }
+
+        // ========================================
+        // HEALTH CHECK E MÉTRICAS
+        // ========================================
+
+        public async Task<bool> IsHealthyAsync()
+        {
+            try
+            {
+                var response = await _httpClient.GetAsync("/api/v1/heartbeat");
+                return response.IsSuccessStatusCode;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro no health check do Chroma");
+                return false;
+            }
+        }
+
+        public async Task<Dictionary<string, object>> GetStatsAsync()
+        {
+            try
+            {
+                var stats = new Dictionary<string, object>
+                {
+                    ["provider"] = "Chroma",
+                    ["collection"] = _collectionName,
+                    ["host"] = _settings.Host,
+                    ["port"] = _settings.Port
+                };
+
+                // Tentar obter informações da collection
+                var response = await _httpClient.GetAsync($"/api/v1/collections/{_collectionName}");
+                if (response.IsSuccessStatusCode)
+                {
+                    var content = await response.Content.ReadAsStringAsync();
+                    var collectionInfo = JsonSerializer.Deserialize<Dictionary<string, object>>(content);
+                    if (collectionInfo != null)
+                    {
+                        stats["collection_info"] = collectionInfo;
+                    }
+                }
+
+                // Contar documentos totais
+                stats["total_documents"] = await GetDocumentCountAsync();
+
+                return stats;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao obter stats do Chroma");
+                return new Dictionary<string, object>
+                {
+                    ["provider"] = "Chroma",
+                    ["error"] = ex.Message,
+                    ["status"] = "error"
+                };
+            }
+        }
+
+        // ========================================
+        // MÉTODOS AUXILIARES PRIVADOS
+        // ========================================
+
+        private async Task<string[]> GetCollectionsAsync()
+        {
+            try
+            {
+                var response = await _httpClient.GetAsync("/api/v1/collections");
+                if (!response.IsSuccessStatusCode)
+                {
+                    _logger.LogWarning("Erro ao obter collections: {StatusCode}", response.StatusCode);
+                    return Array.Empty<string>();
+                }
+
+                var content = await response.Content.ReadAsStringAsync();
+
+                // Tentar desserializar como array de strings (versão simples)
+                try
+                {
+                    var collections = JsonSerializer.Deserialize<string[]>(content);
+                    return collections ?? Array.Empty<string>();
+                }
+                catch
+                {
+                    // Tentar desserializar como array de objetos (versão mais nova)
+                    try
+                    {
+                        var collectionsObj = JsonSerializer.Deserialize<CollectionInfo[]>(content);
+                        return collectionsObj?.Select(c => c.name).ToArray() ?? Array.Empty<string>();
+                    }
+                    catch
+                    {
+                        _logger.LogWarning("Não foi possível parsear lista de collections");
+                        return Array.Empty<string>();
+                    }
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao buscar collections");
+                return Array.Empty<string>();
+            }
+        }
+
+        // Classe auxiliar para desserialização
+        private class CollectionInfo
+        {
+            public string name { get; set; } = "";
+            public Dictionary<string, object>? metadata { get; set; }
+        }
+
+        private async Task CreateCollectionAsync()
+        {
+            var collection = new
+            {
+                name = _collectionName,
+                metadata = new
+                {
+                    description = "RAG Collection",
+                    created_at = DateTime.UtcNow.ToString("O")
+                }
+            };
+
+            var json = JsonSerializer.Serialize(collection);
+            var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+            // Tentar primeira abordagem (versão mais nova)
+            var response = await _httpClient.PostAsync("/api/v1/collections", content);
+
+            // Se falhar, tentar segunda abordagem (criar collection via get_or_create)
+            if (!response.IsSuccessStatusCode)
+            {
+                _logger.LogWarning("Método POST falhou, tentando abordagem alternativa");
+
+                // Criar usando get_or_create approach
+                var createPayload = new
+                {
+                    name = _collectionName,
+                    metadata = new
+                    {
+                        description = "RAG Collection",
+                        created_at = DateTime.UtcNow.ToString("O")
+                    },
+                    get_or_create = true
+                };
+
+                var createJson = JsonSerializer.Serialize(createPayload);
+                var createContent = new StringContent(createJson, Encoding.UTF8, "application/json");
+
+                var createResponse = await _httpClient.PostAsync("/api/v1/collections", createContent);
+
+                if (!createResponse.IsSuccessStatusCode)
+                {
+                    var error = await createResponse.Content.ReadAsStringAsync();
+                    _logger.LogError("Erro ao criar collection: {Error}", error);
+
+                    // Última tentativa: assumir que collection já existe
+                    _logger.LogWarning("Assumindo que collection {CollectionName} já existe", _collectionName);
+                    return;
+                }
+            }
+
+            _logger.LogInformation("Collection {CollectionName} criada/verificada com sucesso", _collectionName);
+        }
+
+        private object? BuildWhereClause(string? projectId, Dictionary<string, object>? filters)
+        {
+            var where = new Dictionary<string, object>();
+
+            if (!string.IsNullOrEmpty(projectId))
+            {
+                where["project_id"] = projectId;
+            }
+
+            if (filters != null)
+            {
+                foreach (var filter in filters)
+                {
+                    where[filter.Key] = filter.Value;
+                }
+            }
+
+            return where.Any() ? where : null;
+        }
+
+        private List<VectorSearchResult> ParseQueryResults(ChromaQueryResult? queryResult, double threshold)
+        {
+            var results = new List<VectorSearchResult>();
+
+            if (queryResult?.documents?.Length > 0 && queryResult.documents[0].Length > 0)
+            {
+                for (int i = 0; i < queryResult.documents[0].Length; i++)
+                {
+                    var distance = queryResult.distances?[0][i] ?? 1.0;
+
+                    // Chroma retorna distâncias, converter para similaridade (1 - distance)
+                    var similarity = 1.0 - distance;
+
+                    if (similarity >= threshold)
+                    {
+                        results.Add(new VectorSearchResult
+                        {
+                            Id = queryResult.ids[0][i],
+                            Content = queryResult.documents[0][i],
+                            Score = similarity,
+                            Metadata = queryResult.metadatas?[0][i]
+                        });
+                    }
+                }
+            }
+
+            return results.OrderByDescending(r => r.Score).ToList();
+        }
+    }
+
+    // ========================================
+    // DTOs PARA CHROMA API
+    // ========================================
+
+    public class ChromaQueryResult
+    {
+        public string[][] ids { get; set; } = Array.Empty<string[]>();
+        public string[][] documents { get; set; } = Array.Empty<string[]>();
+        public double[][]? distances { get; set; }
+        public Dictionary<string, object>[][]? metadatas { get; set; }
+    }
+
+    public class ChromaGetResult
+    {
+        public string[] ids { get; set; } = Array.Empty<string>();
+        public string[] documents { get; set; } = Array.Empty<string>();
+        public Dictionary<string, object>[]? metadatas { get; set; }
+    }
+
+    public class ChromaCountResult
+    {
+        public int count { get; set; }
+    }
+}

Services/SearchVectors/QdrantVectorSearchService.cs

@@ -7,10 +7,10 @@ using ChatRAG.Services.Contracts;
 using Qdrant.Client;
 using static Qdrant.Client.Grpc.Conditions;
 using System.Drawing;
+using System.Collections.Concurrent;
 
 #pragma warning disable SKEXP0001
 
-
 namespace ChatRAG.Services.SearchVectors
 {
     public class QdrantVectorSearchService : IVectorSearchService
@@ -18,7 +18,9 @@ namespace ChatRAG.Services.SearchVectors
         private readonly QdrantClient _client;
         private readonly QdrantSettings _settings;
         private readonly ILogger<QdrantVectorSearchService> _logger;
-        private bool _collectionInitialized = false;
+        private volatile bool _collectionInitialized = false;
+        private readonly SemaphoreSlim _initializationSemaphore = new(1, 1);
+        private readonly ConcurrentDictionary<string, bool> _collectionCache = new();
 
         public QdrantVectorSearchService(
             IOptions<VectorDatabaseSettings> settings,
@@ -37,9 +39,20 @@ namespace ChatRAG.Services.SearchVectors
         {
             if (_collectionInitialized) return;
 
+            await _initializationSemaphore.WaitAsync();
             try
             {
+                if (_collectionInitialized) return;
+
+                // Verifica cache primeiro
+                if (_collectionCache.TryGetValue(_settings.CollectionName, out bool exists) && exists)
+                {
+                    _collectionInitialized = true;
+                    return;
+                }
+
                 var collectionExists = await _client.CollectionExistsAsync(_settings.CollectionName);
+                _collectionCache.TryAdd(_settings.CollectionName, collectionExists);
 
                 if (!collectionExists)
                 {
@@ -58,7 +71,7 @@ namespace ChatRAG.Services.SearchVectors
                         }
                     };
 
-                    // Configurações HNSW opcionais
+                    // Configurações HNSW otimizadas
                     if (_settings.HnswM > 0)
                     {
                         vectorsConfig.HnswConfig = new HnswConfigDiff
@@ -74,15 +87,15 @@ namespace ChatRAG.Services.SearchVectors
                         vectorsConfig: vectorsConfig
                     );
 
+                    _collectionCache.TryAdd(_settings.CollectionName, true);
                     _logger.LogInformation("✅ Collection {CollectionName} criada", _settings.CollectionName);
                 }
 
                 _collectionInitialized = true;
             }
-            catch (Exception ex)
+            finally
             {
-                _logger.LogError(ex, "Erro ao inicializar collection {CollectionName}", _settings.CollectionName);
-                throw;
+                _initializationSemaphore.Release();
             }
         }
 
@@ -131,21 +144,10 @@ namespace ChatRAG.Services.SearchVectors
                     limit: (ulong)limit,
                     scoreThreshold: (float)threshold,
                     payloadSelector: true,
-                    vectorsSelector: true
+                    vectorsSelector: false // Otimização: não buscar vetores desnecessariamente
                 );
 
-                return searchResult.Select(point => new VectorSearchResult
-                {
-                    Id = point.Id.Uuid ?? point.Id.Num.ToString(),
-                    Title = GetStringFromPayload(point.Payload, "title"),
-                    Content = GetStringFromPayload(point.Payload, "content"),
-                    ProjectId = GetStringFromPayload(point.Payload, "project_id"),
-                    Score = point.Score,
-                    Provider = "Qdrant",
-                    CreatedAt = GetDateTimeFromPayload(point.Payload, "created_at"),
-                    UpdatedAt = GetDateTimeFromPayload(point.Payload, "updated_at"),
-                    Metadata = ConvertPayloadToMetadata(point.Payload)
-                }).ToList();
+                return searchResult.Select(ConvertToVectorSearchResult).ToList();
             }
             catch (Exception ex)
             {
@@ -189,27 +191,12 @@ namespace ChatRAG.Services.SearchVectors
                 var id = Guid.NewGuid().ToString();
                 var vector = embedding.Select(x => (float)x).ToArray();
 
-                var payload = new Dictionary<string, Value>
-                {
-                    ["title"] = title,
-                    ["content"] = content,
-                    ["project_id"] = projectId,
-                    ["created_at"] = DateTime.UtcNow.ToString("O"),
-                    ["updated_at"] = DateTime.UtcNow.ToString("O")
-                };
-
-                if (metadata?.Any() == true)
-                {
-                    foreach (var kvp in metadata)
-                    {
-                        payload[$"meta_{kvp.Key}"] = ConvertToValue(kvp.Value);
-                    }
-                }
+                var payload = CreatePayload(title, content, projectId, metadata, isUpdate: false);
 
                 var point = new PointStruct
                 {
-                    Id = new PointId { Uuid = id },  
-                    Vectors = vector,  
+                    Id = new PointId { Uuid = id },
+                    Vectors = vector,
                     Payload = { payload }
                 };
 
@@ -241,22 +228,7 @@ namespace ChatRAG.Services.SearchVectors
             try
             {
                 var vector = embedding.Select(x => (float)x).ToArray();
-
-                var payload = new Dictionary<string, Value>
-                {
-                    ["title"] = title,
-                    ["content"] = content,
-                    ["project_id"] = projectId,
-                    ["updated_at"] = DateTime.UtcNow.ToString("O")
-                };
-
-                if (metadata?.Any() == true)
-                {
-                    foreach (var kvp in metadata)
-                    {
-                        payload[$"meta_{kvp.Key}"] = ConvertToValue(kvp.Value);
-                    }
-                }
+                var payload = CreatePayload(title, content, projectId, metadata, isUpdate: true);
 
                 var point = new PointStruct
                 {
@@ -285,11 +257,11 @@ namespace ChatRAG.Services.SearchVectors
 
             try
             {
-                var pointId = new PointId { Uuid = id } ;
+                var pointId = new PointId { Uuid = id };
 
                 await _client.DeleteAsync(
                     collectionName: _settings.CollectionName,
-                    ids: new ulong[] { pointId.Num }
+                    ids: new ulong[] { pointId.Num } 
                 );
 
                 _logger.LogDebug("Documento {Id} removido do Qdrant", id);
@@ -305,8 +277,18 @@ namespace ChatRAG.Services.SearchVectors
         {
             try
             {
-                var result = await GetDocumentAsync(id);
-                return result != null;
+                await EnsureCollectionExistsAsync();
+
+                var pointId = new PointId { Uuid = id };
+
+                var results = await _client.RetrieveAsync(
+                    collectionName: _settings.CollectionName,
+                    ids: new PointId[] { pointId },
+                    withPayload: false, // Otimização: só queremos saber se existe
+                    withVectors: false
+                );
+
+                return results.Any();
             }
             catch
             {
@@ -330,20 +312,7 @@ namespace ChatRAG.Services.SearchVectors
                 );
 
                 var point = results.FirstOrDefault();
-                if (point == null) return null;
-
-                return new VectorSearchResult
-                {
-                    Id = point.Id.Uuid ?? point.Id.Num.ToString(),
-                    Title = GetStringFromPayload(point.Payload, "title"),
-                    Content = GetStringFromPayload(point.Payload, "content"),
-                    ProjectId = GetStringFromPayload(point.Payload, "project_id"),
-                    Score = 1.0,
-                    Provider = "Qdrant",
-                    CreatedAt = GetDateTimeFromPayload(point.Payload, "created_at"),
-                    UpdatedAt = GetDateTimeFromPayload(point.Payload, "updated_at"),
-                    Metadata = ConvertPayloadToMetadata(point.Payload)
-                };
+                return point != null ? ConvertToVectorSearchResult(point) : null;
             }
             catch (Exception ex)
             {
@@ -361,26 +330,18 @@ namespace ChatRAG.Services.SearchVectors
                 var filter = new Filter();
                 filter.Must.Add(MatchKeyword("project_id", projectId));
 
-                var results = await _client.ScrollAsync(
-                    collectionName: _settings.CollectionName,
-                    filter: filter,
-                    limit: 10000,
-                    payloadSelector: true,
-                    vectorsSelector: true
-                );
-
-                return results.Result.Select(point => new VectorSearchResult
+                var scrollRequest = new ScrollPoints
                 {
-                    Id = point.Id.Uuid ?? point.Id.Num.ToString(),
-                    Title = GetStringFromPayload(point.Payload, "title"),
-                    Content = GetStringFromPayload(point.Payload, "content"),
-                    ProjectId = GetStringFromPayload(point.Payload, "project_id"),
-                    Score = 1.0,
-                    Provider = "Qdrant",
-                    CreatedAt = GetDateTimeFromPayload(point.Payload, "created_at"),
-                    UpdatedAt = GetDateTimeFromPayload(point.Payload, "updated_at"),
-                    Metadata = ConvertPayloadToMetadata(point.Payload)
-                }).ToList();
+                    CollectionName = _settings.CollectionName,
+                    Filter = filter,
+                    Limit = 10000,
+                    WithPayload = true,
+                    WithVectors = false // Otimização: não buscar vetores
+                };
+
+                var results = await _client.ScrollAsync(_settings.CollectionName, filter, 10000, null, true, false);
+
+                return results.Result.Select(ConvertToVectorSearchResult).ToList();
             }
             catch (Exception ex)
             {
@@ -459,16 +420,84 @@ namespace ChatRAG.Services.SearchVectors
             }
         }
 
+        // Métodos auxiliares otimizados
+        private static Dictionary<string, Value> CreatePayload(
+            string title,
+            string content,
+            string projectId,
+            Dictionary<string, object>? metadata,
+            bool isUpdate)
+        {
+            var payload = new Dictionary<string, Value>
+            {
+                ["title"] = title,
+                ["content"] = content,
+                ["project_id"] = projectId
+            };
+
+            if (isUpdate)
+            {
+                payload["updated_at"] = DateTime.UtcNow.ToString("O");
+            }
+            else
+            {
+                payload["created_at"] = DateTime.UtcNow.ToString("O");
+                payload["updated_at"] = DateTime.UtcNow.ToString("O");
+            }
+
+            if (metadata?.Any() == true)
+            {
+                foreach (var kvp in metadata)
+                {
+                    payload[$"meta_{kvp.Key}"] = ConvertToValue(kvp.Value);
+                }
+            }
+
+            return payload;
+        }
+
+        private static VectorSearchResult ConvertToVectorSearchResult(ScoredPoint point)
+        {
+            return new VectorSearchResult
+            {
+                Id = point.Id.Uuid ?? point.Id.Num.ToString(),
+                Title = GetStringFromPayload(point.Payload, "title"),
+                Content = GetStringFromPayload(point.Payload, "content"),
+                ProjectId = GetStringFromPayload(point.Payload, "project_id"),
+                Score = point.Score,
+                Provider = "Qdrant",
+                CreatedAt = GetDateTimeFromPayload(point.Payload, "created_at"),
+                UpdatedAt = GetDateTimeFromPayload(point.Payload, "updated_at"),
+                Metadata = ConvertPayloadToMetadata(point.Payload)
+            };
+        }
+
+        private static VectorSearchResult ConvertToVectorSearchResult(RetrievedPoint point)
+        {
+            return new VectorSearchResult
+            {
+                Id = point.Id.Uuid ?? point.Id.Num.ToString(),
+                Title = GetStringFromPayload(point.Payload, "title"),
+                Content = GetStringFromPayload(point.Payload, "content"),
+                ProjectId = GetStringFromPayload(point.Payload, "project_id"),
+                Score = 1.0,
+                Provider = "Qdrant",
+                CreatedAt = GetDateTimeFromPayload(point.Payload, "created_at"),
+                UpdatedAt = GetDateTimeFromPayload(point.Payload, "updated_at"),
+                Metadata = ConvertPayloadToMetadata(point.Payload)
+            };
+        }
+
         private static Value ConvertToValue(object value)
         {
             return value switch
             {
-                string s => s,  
-                int i => i,     
-                long l => l,    
-                double d => d,  
-                float f => f,   
-                bool b => b,    
+                string s => s,
+                int i => i,
+                long l => l,
+                double d => d,
+                float f => f,
+                bool b => b,
                 DateTime dt => dt.ToString("O"),
                 _ => value?.ToString() ?? ""
             };
@@ -519,6 +548,7 @@ namespace ChatRAG.Services.SearchVectors
 
         public void Dispose()
         {
+            _initializationSemaphore?.Dispose();
             _client?.Dispose();
         }
     }

Services/SearchVectors/VectorDatabaseFactory.cs

@@ -1,5 +1,6 @@
 using ChatApi.Data;
 using ChatRAG.Contracts.VectorSearch;
+using ChatRAG.Data;
 using ChatRAG.Services.Contracts;
 using ChatRAG.Services.ResponseService;
 using ChatRAG.Services.TextServices;
@@ -8,33 +9,31 @@ using Microsoft.Extensions.Options;
 
 namespace ChatRAG.Services.SearchVectors
 {
-    /// <summary>
-    /// Factory principal que cria implementações baseadas na configuração
-    /// </summary>
-    /// <summary>
-    /// Factory principal que cria implementações baseadas na configuração
-    /// </summary>
     public class VectorDatabaseFactory : IVectorDatabaseFactory
     {
-        private readonly VectorDatabaseSettings _settings;
         private readonly IServiceProvider _serviceProvider;
+        private readonly VectorDatabaseSettings _settings;
         private readonly ILogger<VectorDatabaseFactory> _logger;
 
         public VectorDatabaseFactory(
-            IOptions<VectorDatabaseSettings> settings,
             IServiceProvider serviceProvider,
+            IOptions<VectorDatabaseSettings> settings,
             ILogger<VectorDatabaseFactory> logger)
         {
-            _settings = settings.Value;
             _serviceProvider = serviceProvider;
+            _settings = settings.Value;
             _logger = logger;
-
-            // Valida configurações na inicialização
-            ValidateSettings();
         }
 
-        public string GetActiveProvider() => _settings.Provider;
-        public VectorDatabaseSettings GetSettings() => _settings;
+        public string GetActiveProvider()
+        {
+            return _settings.Provider;
+        }
+
+        public VectorDatabaseSettings GetSettings()
+        {
+            return _settings;
+        }
 
         public IVectorSearchService CreateVectorSearchService()
         {
@@ -42,8 +41,9 @@ namespace ChatRAG.Services.SearchVectors
 
             return _settings.Provider.ToLower() switch
             {
-                "qdrant" => GetService<ChatRAG.Services.SearchVectors.QdrantVectorSearchService>(),
-                "mongodb" => GetService<ChatRAG.Services.SearchVectors.MongoVectorSearchService>(),
+                "qdrant" => GetService<QdrantVectorSearchService>(),
+                "mongodb" => GetService<MongoVectorSearchService>(),
+                "chroma" => GetService<ChromaVectorSearchService>(),
                 _ => throw new ArgumentException($"Provider de VectorSearch não suportado: {_settings.Provider}")
             };
         }
@@ -54,10 +54,10 @@ namespace ChatRAG.Services.SearchVectors
 
             return _settings.Provider.ToLower() switch
             {
-                // ✅ CORRIGIDO: Usa os namespaces corretos
-                "qdrant" => GetService<ChatRAG.Services.TextServices.QdrantTextDataService>(),
-                "mongodb" => GetService<ChatApi.Data.TextData>(), // Sua classe atual!
-                _ => throw new ArgumentException($"Provider de TextData não suportado: {_settings.Provider}")
+                "qdrant" => GetService<QdrantTextDataService>(),
+                "mongodb" => GetService<MongoTextDataService>(),
+                "chroma" => GetService<ChromaTextDataService>(),
+                _ => throw new ArgumentException($"Provider de TextDataService não suportado: {_settings.Provider}")
             };
         }
 
@@ -65,50 +65,36 @@ namespace ChatRAG.Services.SearchVectors
         {
             _logger.LogInformation("Criando ResponseService para provider: {Provider}", _settings.Provider);
 
-            return _settings.Provider.ToLower() switch
+            // Verificar se deve usar RAG Hierárquico
+            var configuration = _serviceProvider.GetService<IConfiguration>();
+            var useHierarchical = configuration?.GetValue<bool>("Features:UseHierarchicalRAG") ?? false;
+
+            if (useHierarchical)
             {
-                // ✅ CORRIGIDO: Usa os namespaces corretos
-                "qdrant" => GetService<ChatRAG.Services.ResponseService.QdrantResponseService>(),
-                "mongodb" => GetService<ChatRAG.Services.ResponseService.ResponseRAGService>(), // Sua classe atual!
-                _ => throw new ArgumentException($"Provider de Response não suportado: {_settings.Provider}")
+                _logger.LogInformation("Usando HierarchicalRAGService");
+                return GetService<HierarchicalRAGService>();
+            }
+
+            // Usar estratégia baseada no provider ou configuração
+            var ragStrategy = configuration?.GetValue<string>("Features:RAGStrategy");
+
+            return ragStrategy?.ToLower() switch
+            {
+                "hierarchical" => GetService<HierarchicalRAGService>(),
+                "standard" => GetService<ResponseRAGService>(),
+                _ => GetService<ResponseRAGService>() // Padrão
             };
         }
 
-        // ========================================
-        // MÉTODOS AUXILIARES
-        // ========================================
-
         private T GetService<T>() where T : class
         {
-            try
+            var service = _serviceProvider.GetService<T>();
+            if (service == null)
             {
-                var service = _serviceProvider.GetRequiredService<T>();
-                _logger.LogDebug("Serviço {ServiceType} criado com sucesso", typeof(T).Name);
-                return service;
+                throw new InvalidOperationException($"Serviço {typeof(T).Name} não está registrado no DI container. " +
+                    $"Verifique se o serviço foi registrado para o provider '{_settings.Provider}'.");
             }
-            catch (InvalidOperationException ex)
-            {
-                _logger.LogError(ex, "Erro ao criar serviço {ServiceType} para provider {Provider}",
-                    typeof(T).Name, _settings.Provider);
-
-                throw new InvalidOperationException(
-                    $"Serviço {typeof(T).Name} não está registrado para provider {_settings.Provider}. " +
-                    $"Certifique-se de chamar services.Add{_settings.Provider}Provider() no DI.", ex);
-            }
-        }
-
-        private void ValidateSettings()
-        {
-            if (!_settings.IsValid())
-            {
-                var errors = _settings.GetValidationErrors();
-                var errorMessage = $"Configurações inválidas para VectorDatabase: {string.Join(", ", errors)}";
-
-                _logger.LogError(errorMessage);
-                throw new InvalidOperationException(errorMessage);
-            }
-
-            _logger.LogInformation("Configurações validadas com sucesso para provider: {Provider}", _settings.Provider);
+            return service;
         }
     }
 }

Services/SearchVectors/anv10eil.vdi~

@@ -0,0 +1,55 @@
+using ChatApi.Data;
+using ChatRAG.Contracts.VectorSearch;
+using ChatRAG.Services.Contracts;
+using ChatRAG.Services.ResponseService;
+using ChatRAG.Services.TextServices;
+using ChatRAG.Settings.ChatRAG.Configuration;
+using Microsoft.Extensions.Options;
+
+namespace ChatRAG.Services.SearchVectors
+{
+    public class VectorDatabaseFactory : IVectorDatabaseFactory
+    {
+        private readonly IServiceProvider _serviceProvider;
+        private readonly VectorDatabaseSettings _settings;
+        private readonly ILogger<VectorDatabaseFactory> _logger;
+
+        public VectorDatabaseFactory(
+            IServiceProvider serviceProvider,
+            IOptions<VectorDatabaseSettings> settings,
+            ILogger<VectorDatabaseFactory> logger)
+        {
+            _serviceProvider = serviceProvider;
+            _settings = settings.Value;
+            _logger = logger;
+        }
+
+        public string GetActiveProvider()
+        {
+            return _settings.Provider;
+        }
+
+        public IVectorSearchService CreateVectorSearchService()
+        {
+            _logger.LogInformation("Criando VectorSearchService para provider: {Provider}", _settings.Provider);
+
+            return _settings.Provider.ToLower() switch
+            {
+                "qdrant" => GetService<QdrantVectorSearchService>(),
+                "mongodb" => GetService<MongoVectorSearchService>(),
+                "chroma" => GetService<ChromaVectorSearchService>(),
+                _ => throw new ArgumentException($"Provider de VectorSearch não suportado: {_settings.Provider}")
+            };
+        }
+
+        private T GetService<T>() where T : class
+        {
+            var service = _serviceProvider.GetService<T>();
+            if (service == null)
+            {
+                throw new InvalidOperationException($"Serviço {typeof(T).Name} não está registrado no DI container");
+            }
+            return service;
+        }
+    }
+}

Services/TextServices/ChromaTextDataService.cs

@@ -0,0 +1,537 @@
+using ChatRAG.Contracts.VectorSearch;
+using ChatRAG.Models;
+using ChatRAG.Services.Contracts;
+using ChatRAG.Data;
+using Microsoft.SemanticKernel.Embeddings;
+using System.Text;
+
+#pragma warning disable SKEXP0001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
+namespace ChatRAG.Services
+{
+    // ========================================
+    // CHROMA TEXT DATA SERVICE - IMPLEMENTAÇÃO COMPLETA
+    // ========================================
+
+    public class ChromaTextDataService : ITextDataService
+    {
+        private readonly IVectorSearchService _vectorSearchService;
+        private readonly ITextEmbeddingGenerationService _embeddingService;
+        private readonly ILogger<ChromaTextDataService> _logger;
+
+        public ChromaTextDataService(
+            IVectorSearchService vectorSearchService,
+            ITextEmbeddingGenerationService embeddingService,
+            ILogger<ChromaTextDataService> logger)
+        {
+            _vectorSearchService = vectorSearchService;
+            _embeddingService = embeddingService;
+            _logger = logger;
+        }
+
+        public string ProviderName => "Chroma";
+
+        // ========================================
+        // MÉTODOS ORIGINAIS (compatibilidade com MongoDB)
+        // ========================================
+
+        public async Task SalvarNoMongoDB(string titulo, string texto, string projectId)
+        {
+            await SalvarNoMongoDB(null, titulo, texto, projectId);
+        }
+
+        public async Task SalvarNoMongoDB(string? id, string titulo, string texto, string projectId)
+        {
+            try
+            {
+                var conteudo = $"**{titulo}** \n\n {texto}";
+
+                // Gera embedding
+                var embedding = await _embeddingService.GenerateEmbeddingAsync(conteudo);
+                var embeddingArray = embedding.ToArray().Select(e => (double)e).ToArray();
+
+                if (string.IsNullOrEmpty(id))
+                {
+                    // Cria novo documento
+                    await _vectorSearchService.AddDocumentAsync(titulo, texto, projectId, embeddingArray);
+                    _logger.LogDebug("Documento '{Title}' criado no Chroma", titulo);
+                }
+                else
+                {
+                    // Atualiza documento existente
+                    await _vectorSearchService.UpdateDocumentAsync(id, titulo, texto, projectId, embeddingArray);
+                    _logger.LogDebug("Documento '{Id}' atualizado no Chroma", id);
+                }
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao salvar documento '{Title}' no Chroma", titulo);
+                throw;
+            }
+        }
+
+        public async Task SalvarTextoComEmbeddingNoMongoDB(string textoCompleto, string projectId)
+        {
+            try
+            {
+                var textoArray = new List<string>();
+                string[] textolinhas = textoCompleto.Split(
+                    new string[] { "\n" },
+                    StringSplitOptions.None
+                );
+
+                var title = textolinhas[0];
+                var builder = new StringBuilder();
+
+                foreach (string line in textolinhas)
+                {
+                    if (line.StartsWith("**") || line.StartsWith("\r**"))
+                    {
+                        if (builder.Length > 0)
+                        {
+                            textoArray.Add(title.Replace("**", "").Replace("\r", "") + ": " + Environment.NewLine + builder.ToString());
+                            builder = new StringBuilder();
+                            title = line;
+                        }
+                    }
+                    else
+                    {
+                        builder.AppendLine(line);
+                    }
+                }
+
+                // Adiciona último bloco se houver
+                if (builder.Length > 0)
+                {
+                    textoArray.Add(title.Replace("**", "").Replace("\r", "") + ": " + Environment.NewLine + builder.ToString());
+                }
+
+                // Processa cada seção
+                foreach (var item in textoArray)
+                {
+                    await SalvarNoMongoDB(title.Replace("**", "").Replace("\r", ""), item, projectId);
+                }
+
+                _logger.LogInformation("Texto completo processado: {SectionCount} seções salvas no Chroma", textoArray.Count);
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao processar texto completo no Chroma");
+                throw;
+            }
+        }
+
+        public async Task<IEnumerable<TextoComEmbedding>> GetAll()
+        {
+            try
+            {
+                // Busca todos os projetos e depois todos os documentos
+                var allDocuments = new List<VectorSearchResult>();
+
+                // Como Chroma não tem um "GetAll" direto, vamos usar scroll
+                // Isso é uma limitação vs MongoDB, mas é mais eficiente
+                var projects = await GetAllProjectIds();
+
+                foreach (var projectId in projects)
+                {
+                    var projectDocs = await _vectorSearchService.GetDocumentsByProjectAsync(projectId);
+                    allDocuments.AddRange(projectDocs);
+                }
+
+                return allDocuments.Select(ConvertToTextoComEmbedding);
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao recuperar todos os documentos do Chroma");
+                throw;
+            }
+        }
+
+        public async Task<IEnumerable<TextoComEmbedding>> GetByPorjectId(string projectId)
+        {
+            try
+            {
+                var documents = await _vectorSearchService.GetDocumentsByProjectAsync(projectId);
+                return documents.Select(ConvertToTextoComEmbedding);
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao recuperar documentos do projeto {ProjectId} no Chroma", projectId);
+                throw;
+            }
+        }
+
+        public async Task<TextoComEmbedding> GetById(string id)
+        {
+            try
+            {
+                var document = await _vectorSearchService.GetDocumentAsync(id);
+                if (document == null)
+                {
+                    throw new ArgumentException($"Documento {id} não encontrado no Chroma");
+                }
+
+                return ConvertToTextoComEmbedding(document);
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao recuperar documento {Id} do Chroma", id);
+                throw;
+            }
+        }
+
+        // ========================================
+        // MÉTODOS NOVOS DA INTERFACE
+        // ========================================
+
+        public async Task<string> SaveDocumentAsync(DocumentInput document)
+        {
+            try
+            {
+                var conteudo = $"**{document.Title}** \n\n {document.Content}";
+                var embedding = await _embeddingService.GenerateEmbeddingAsync(conteudo);
+                var embeddingArray = embedding.ToArray().Select(e => (double)e).ToArray();
+
+                string id;
+                if (!string.IsNullOrEmpty(document.Id))
+                {
+                    // Atualizar documento existente
+                    await _vectorSearchService.UpdateDocumentAsync(
+                        document.Id,
+                        document.Title,
+                        document.Content,
+                        document.ProjectId,
+                        embeddingArray,
+                        document.Metadata);
+                    id = document.Id;
+                }
+                else
+                {
+                    // Criar novo documento
+                    id = await _vectorSearchService.AddDocumentAsync(
+                        document.Title,
+                        document.Content,
+                        document.ProjectId,
+                        embeddingArray,
+                        document.Metadata);
+                }
+
+                _logger.LogDebug("Documento {Id} salvo no Chroma via SaveDocumentAsync", id);
+                return id;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao salvar documento no Chroma");
+                throw;
+            }
+        }
+
+        public async Task UpdateDocumentAsync(string id, DocumentInput document)
+        {
+            try
+            {
+                var conteudo = $"**{document.Title}** \n\n {document.Content}";
+                var embedding = await _embeddingService.GenerateEmbeddingAsync(conteudo);
+                var embeddingArray = embedding.ToArray().Select(e => (double)e).ToArray();
+
+                await _vectorSearchService.UpdateDocumentAsync(
+                    id,
+                    document.Title,
+                    document.Content,
+                    document.ProjectId,
+                    embeddingArray,
+                    document.Metadata);
+
+                _logger.LogDebug("Documento {Id} atualizado no Chroma", id);
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao atualizar documento {Id} no Chroma", id);
+                throw;
+            }
+        }
+
+        public async Task DeleteDocumentAsync(string id)
+        {
+            try
+            {
+                await _vectorSearchService.DeleteDocumentAsync(id);
+                _logger.LogDebug("Documento {Id} deletado do Chroma", id);
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao deletar documento {Id} do Chroma", id);
+                throw;
+            }
+        }
+
+        public async Task<bool> DocumentExistsAsync(string id)
+        {
+            try
+            {
+                return await _vectorSearchService.DocumentExistsAsync(id);
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao verificar existência do documento {Id} no Chroma", id);
+                return false;
+            }
+        }
+
+        public async Task<DocumentOutput?> GetDocumentAsync(string id)
+        {
+            try
+            {
+                var result = await _vectorSearchService.GetDocumentAsync(id);
+                if (result == null) return null;
+
+                return new DocumentOutput
+                {
+                    Id = result.Id,
+                    Title = result.Metadata?.GetValueOrDefault("title")?.ToString() ?? "",
+                    Content = result.Content,
+                    ProjectId = result.Metadata?.GetValueOrDefault("project_id")?.ToString() ?? "",
+                    Embedding = Array.Empty<double>(), // Chroma não retorna embedding na busca
+                    CreatedAt = ParseDateTime(result.Metadata?.GetValueOrDefault("created_at")?.ToString()).Value,
+                    UpdatedAt = ParseDateTime(result.Metadata?.GetValueOrDefault("updated_at")?.ToString()).Value,
+                    Metadata = result.Metadata
+                };
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao recuperar documento {Id} do Chroma", id);
+                return null;
+            }
+        }
+
+        public async Task<List<DocumentOutput>> GetDocumentsByProjectAsync(string projectId)
+        {
+            try
+            {
+                var results = await _vectorSearchService.GetDocumentsByProjectAsync(projectId);
+
+                return results.Select(result => new DocumentOutput
+                {
+                    Id = result.Id,
+                    Title = result.Metadata?.GetValueOrDefault("title")?.ToString() ?? "",
+                    Content = result.Content,
+                    ProjectId = projectId,
+                    Embedding = Array.Empty<double>(),
+                    CreatedAt = ParseDateTime(result.Metadata?.GetValueOrDefault("created_at")?.ToString()).Value,
+                    UpdatedAt = ParseDateTime(result.Metadata?.GetValueOrDefault("updated_at")?.ToString()).Value,
+                    Metadata = result.Metadata
+                }).ToList();
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao recuperar documentos do projeto {ProjectId} do Chroma", projectId);
+                throw;
+            }
+        }
+
+        public async Task<int> GetDocumentCountAsync(string? projectId = null)
+        {
+            try
+            {
+                return await _vectorSearchService.GetDocumentCountAsync(projectId);
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao contar documentos no Chroma");
+                return 0;
+            }
+        }
+
+        // ========================================
+        // OPERAÇÕES EM LOTE
+        // ========================================
+
+        public async Task<List<string>> SaveDocumentsBatchAsync(List<DocumentInput> documents)
+        {
+            var ids = new List<string>();
+            var errors = new List<Exception>();
+
+            // Processa em lotes menores para performance
+            var batchSize = 10;
+            for (int i = 0; i < documents.Count; i += batchSize)
+            {
+                var batch = documents.Skip(i).Take(batchSize);
+                var tasks = batch.Select(async doc =>
+                {
+                    try
+                    {
+                        var id = await SaveDocumentAsync(doc);
+                        return id;
+                    }
+                    catch (Exception ex)
+                    {
+                        errors.Add(ex);
+                        _logger.LogError(ex, "Erro ao salvar documento '{Title}' em lote", doc.Title);
+                        return null;
+                    }
+                });
+
+                var batchResults = await Task.WhenAll(tasks);
+                ids.AddRange(batchResults.Where(id => id != null)!);
+            }
+
+            if (errors.Any())
+            {
+                _logger.LogWarning("Batch save completado com {ErrorCount} erros de {TotalCount} documentos",
+                    errors.Count, documents.Count);
+            }
+
+            _logger.LogInformation("Batch save: {SuccessCount}/{TotalCount} documentos salvos no Chroma",
+                ids.Count, documents.Count);
+
+            return ids;
+        }
+
+        public async Task DeleteDocumentsBatchAsync(List<string> ids)
+        {
+            var errors = new List<Exception>();
+
+            // Processa em lotes para não sobrecarregar
+            var batchSize = 20;
+            for (int i = 0; i < ids.Count; i += batchSize)
+            {
+                var batch = ids.Skip(i).Take(batchSize);
+                var tasks = batch.Select(async id =>
+                {
+                    try
+                    {
+                        await DeleteDocumentAsync(id);
+                        return true;
+                    }
+                    catch (Exception ex)
+                    {
+                        errors.Add(ex);
+                        _logger.LogError(ex, "Erro ao deletar documento {Id} em lote", id);
+                        return false;
+                    }
+                });
+
+                await Task.WhenAll(tasks);
+            }
+
+            if (errors.Any())
+            {
+                _logger.LogWarning("Batch delete completado com {ErrorCount} erros de {TotalCount} documentos",
+                    errors.Count, ids.Count);
+            }
+            else
+            {
+                _logger.LogInformation("Batch delete: {TotalCount} documentos removidos do Chroma", ids.Count);
+            }
+        }
+
+        // ========================================
+        // ESTATÍSTICAS DO PROVIDER
+        // ========================================
+
+        public async Task<Dictionary<string, object>> GetProviderStatsAsync()
+        {
+            try
+            {
+                var baseStats = await _vectorSearchService.GetStatsAsync();
+                var totalDocs = await GetDocumentCountAsync();
+
+                // Adiciona estatísticas específicas do TextData
+                var projectIds = await GetAllProjectIds();
+                var projectStats = new Dictionary<string, int>();
+
+                foreach (var projectId in projectIds)
+                {
+                    var count = await GetDocumentCountAsync(projectId);
+                    projectStats[projectId] = count;
+                }
+
+                var enhancedStats = new Dictionary<string, object>(baseStats)
+                {
+                    ["text_service_provider"] = "Chroma",
+                    ["total_documents_via_text_service"] = totalDocs,
+                    ["projects_count"] = projectIds.Count,
+                    ["documents_by_project"] = projectStats,
+                    ["supports_batch_operations"] = true,
+                    ["supports_metadata"] = true,
+                    ["embedding_auto_generation"] = true
+                };
+
+                return enhancedStats;
+            }
+            catch (Exception ex)
+            {
+                return new Dictionary<string, object>
+                {
+                    ["provider"] = "Chroma",
+                    ["text_service_provider"] = "Chroma",
+                    ["health"] = "error",
+                    ["error"] = ex.Message,
+                    ["last_check"] = DateTime.UtcNow
+                };
+            }
+        }
+
+        // ========================================
+        // MÉTODOS AUXILIARES PRIVADOS
+        // ========================================
+
+        private static TextoComEmbedding ConvertToTextoComEmbedding(VectorSearchResult result)
+        {
+            return new TextoComEmbedding
+            {
+                Id = result.Id,
+                Titulo = result.Metadata?.GetValueOrDefault("title")?.ToString() ?? "",
+                Conteudo = result.Content,
+                ProjetoId = result.Metadata?.GetValueOrDefault("project_id")?.ToString() ?? "",
+                Embedding = Array.Empty<double>(), // Chroma não retorna embedding na busca
+                                                   // Campos que podem não existir no Chroma
+                ProjetoNome = result.Metadata?.GetValueOrDefault("project_name")?.ToString() ?? "",
+                TipoDocumento = result.Metadata?.GetValueOrDefault("document_type")?.ToString() ?? "",
+                Categoria = result.Metadata?.GetValueOrDefault("category")?.ToString() ?? "",
+                Tags = result.Metadata?.GetValueOrDefault("tags") as string[] ?? Array.Empty<string>()
+            };
+        }
+
+        private async Task<List<string>> GetAllProjectIds()
+        {
+            try
+            {
+                // Esta é uma operação custosa no Chroma
+                // Em produção, seria melhor manter um cache de project IDs
+                // ou usar uma estrutura de dados separada
+
+                // Por agora, vamos usar uma busca com um vetor dummy para pegar todos os documentos
+                var dummyVector = new double[384]; // Assumindo embeddings padrão
+                var allResults = await _vectorSearchService.SearchSimilarAsync(
+                    dummyVector,
+                    projectId: null,
+                    threshold: 0.0,
+                    limit: 10000);
+
+                return allResults
+                    .Select(r => r.Metadata?.GetValueOrDefault("project_id")?.ToString())
+                    .Where(pid => !string.IsNullOrEmpty(pid))
+                    .Distinct()
+                    .ToList()!;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao recuperar IDs de projetos do Chroma");
+                return new List<string>();
+            }
+        }
+
+        private static DateTime? ParseDateTime(string? dateString)
+        {
+            if (string.IsNullOrEmpty(dateString))
+                return null;
+
+            if (DateTime.TryParse(dateString, out var date))
+                return date;
+
+            return null;
+        }
+    }
+}
+#pragma warning restore SKEXP0001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
+

Services/TextServices/QdrantTextDataService.cs

@@ -6,6 +6,7 @@ using ChatRAG.Models;
 using ChatRAG.Services.Contracts;
 using Microsoft.SemanticKernel.Embeddings;
 using System.Text;
+using System.Collections.Concurrent;
 
 namespace ChatRAG.Services.TextServices
 {
@@ -15,6 +16,10 @@ namespace ChatRAG.Services.TextServices
         private readonly ITextEmbeddingGenerationService _embeddingService;
         private readonly ILogger<QdrantTextDataService> _logger;
 
+        // Cache para project IDs para evitar buscas custosas
+        private readonly ConcurrentDictionary<string, DateTime> _projectIdCache = new();
+        private readonly TimeSpan _cacheTimeout = TimeSpan.FromMinutes(5);
+
         public QdrantTextDataService(
             IVectorSearchService vectorSearchService,
             ITextEmbeddingGenerationService embeddingService,
@@ -42,20 +47,23 @@ namespace ChatRAG.Services.TextServices
             {
                 var conteudo = $"**{titulo}** \n\n {texto}";
 
-                // Gera embedding
-                var embedding = await _embeddingService.GenerateEmbeddingAsync(conteudo);
-                var embeddingArray = embedding.ToArray().Select(e => (double)e).ToArray();
+                // Gera embedding uma única vez
+                var embedding = await GenerateEmbeddingOptimized(conteudo);
 
                 if (string.IsNullOrEmpty(id))
                 {
                     // Cria novo documento
-                    await _vectorSearchService.AddDocumentAsync(titulo, texto, projectId, embeddingArray);
-                    _logger.LogDebug("Documento '{Title}' criado no Qdrant", titulo);
+                    var newId = await _vectorSearchService.AddDocumentAsync(titulo, texto, projectId, embedding);
+
+                    // Atualiza cache de project IDs
+                    _projectIdCache.TryAdd(projectId, DateTime.UtcNow);
+
+                    _logger.LogDebug("Documento '{Title}' criado no Qdrant com ID {Id}", titulo, newId);
                 }
                 else
                 {
                     // Atualiza documento existente
-                    await _vectorSearchService.UpdateDocumentAsync(id, titulo, texto, projectId, embeddingArray);
+                    await _vectorSearchService.UpdateDocumentAsync(id, titulo, texto, projectId, embedding);
                     _logger.LogDebug("Documento '{Id}' atualizado no Qdrant", id);
                 }
             }
@@ -70,43 +78,29 @@ namespace ChatRAG.Services.TextServices
         {
             try
             {
-                var textoArray = new List<string>();
-                string[] textolinhas = textoCompleto.Split(
-                    new string[] { "\n" },
-                    StringSplitOptions.None
-                );
+                var textoArray = ParseTextIntoSections(textoCompleto);
 
-                var title = textolinhas[0];
-                var builder = new StringBuilder();
-
-                foreach (string line in textolinhas)
+                // Processa seções em paralelo com limite de concorrência
+                var semaphore = new SemaphoreSlim(5, 5); // Máximo 5 operações simultâneas
+                var tasks = textoArray.Select(async item =>
                 {
-                    if (line.StartsWith("**") || line.StartsWith("\r**"))
+                    await semaphore.WaitAsync();
+                    try
                     {
-                        if (builder.Length > 0)
-                        {
-                            textoArray.Add(title.Replace("**", "").Replace("\r", "") + ": " + Environment.NewLine + builder.ToString());
-                            builder = new StringBuilder();
-                            title = line;
-                        }
+                        var lines = item.Split('\n', 2);
+                        var title = lines[0].Replace("**", "").Replace("\r", "").Trim();
+                        var content = lines.Length > 1 ? lines[1] : "";
+
+                        await SalvarNoMongoDB(title, content, projectId);
                     }
-                    else
+                    finally
                     {
-                        builder.AppendLine(line);
+                        semaphore.Release();
                     }
-                }
+                });
 
-                // Adiciona último bloco se houver
-                if (builder.Length > 0)
-                {
-                    textoArray.Add(title.Replace("**", "").Replace("\r", "") + ": " + Environment.NewLine + builder.ToString());
-                }
-
-                // Processa cada seção
-                foreach (var item in textoArray)
-                {
-                    await SalvarNoMongoDB(title.Replace("**", "").Replace("\r", ""), item, projectId);
-                }
+                await Task.WhenAll(tasks);
+                semaphore.Dispose();
 
                 _logger.LogInformation("Texto completo processado: {SectionCount} seções salvas no Qdrant", textoArray.Count);
             }
@@ -121,16 +115,41 @@ namespace ChatRAG.Services.TextServices
         {
             try
             {
-                // Busca todos os projetos e depois todos os documentos
+                // Usa cache de project IDs quando possível
+                var projectIds = await GetAllProjectIdsOptimized();
+
+                if (!projectIds.Any())
+                {
+                    return Enumerable.Empty<TextoComEmbedding>();
+                }
+
                 var allDocuments = new List<VectorSearchResult>();
 
-                // Como Qdrant não tem um "GetAll" direto, vamos usar scroll
-                // Isso é uma limitação vs MongoDB, mas é mais eficiente
-                var projects = await GetAllProjectIds();
-
-                foreach (var projectId in projects)
+                // Busca documentos em paralelo por projeto
+                var semaphore = new SemaphoreSlim(3, 3); // Máximo 3 projetos simultâneos
+                var tasks = projectIds.Select(async projectId =>
+                {
+                    await semaphore.WaitAsync();
+                    try
+                    {
+                        return await _vectorSearchService.GetDocumentsByProjectAsync(projectId);
+                    }
+                    catch (Exception ex)
+                    {
+                        _logger.LogWarning(ex, "Erro ao buscar documentos do projeto {ProjectId}", projectId);
+                        return new List<VectorSearchResult>();
+                    }
+                    finally
+                    {
+                        semaphore.Release();
+                    }
+                });
+
+                var results = await Task.WhenAll(tasks);
+                semaphore.Dispose();
+
+                foreach (var projectDocs in results)
                 {
-                    var projectDocs = await _vectorSearchService.GetDocumentsByProjectAsync(projectId);
                     allDocuments.AddRange(projectDocs);
                 }
 
@@ -184,9 +203,7 @@ namespace ChatRAG.Services.TextServices
         {
             try
             {
-                var conteudo = $"**{document.Title}** \n\n {document.Content}";
-                var embedding = await _embeddingService.GenerateEmbeddingAsync(conteudo);
-                var embeddingArray = embedding.ToArray().Select(e => (double)e).ToArray();
+                var embedding = await GenerateEmbeddingOptimized($"**{document.Title}** \n\n {document.Content}");
 
                 string id;
                 if (!string.IsNullOrEmpty(document.Id))
@@ -197,7 +214,7 @@ namespace ChatRAG.Services.TextServices
                         document.Title,
                         document.Content,
                         document.ProjectId,
-                        embeddingArray,
+                        embedding,
                         document.Metadata);
                     id = document.Id;
                 }
@@ -208,10 +225,13 @@ namespace ChatRAG.Services.TextServices
                         document.Title,
                         document.Content,
                         document.ProjectId,
-                        embeddingArray,
+                        embedding,
                         document.Metadata);
                 }
 
+                // Atualiza cache de project IDs
+                _projectIdCache.TryAdd(document.ProjectId, DateTime.UtcNow);
+
                 _logger.LogDebug("Documento {Id} salvo no Qdrant via SaveDocumentAsync", id);
                 return id;
             }
@@ -226,16 +246,14 @@ namespace ChatRAG.Services.TextServices
         {
             try
             {
-                var conteudo = $"**{document.Title}** \n\n {document.Content}";
-                var embedding = await _embeddingService.GenerateEmbeddingAsync(conteudo);
-                var embeddingArray = embedding.ToArray().Select(e => (double)e).ToArray();
+                var embedding = await GenerateEmbeddingOptimized($"**{document.Title}** \n\n {document.Content}");
 
                 await _vectorSearchService.UpdateDocumentAsync(
                     id,
                     document.Title,
                     document.Content,
                     document.ProjectId,
-                    embeddingArray,
+                    embedding,
                     document.Metadata);
 
                 _logger.LogDebug("Documento {Id} atualizado no Qdrant", id);
@@ -339,7 +357,7 @@ namespace ChatRAG.Services.TextServices
         }
 
         // ========================================
-        // OPERAÇÕES EM LOTE
+        // OPERAÇÕES EM LOTE OTIMIZADAS
         // ========================================
 
         public async Task<List<string>> SaveDocumentsBatchAsync(List<DocumentInput> documents)
@@ -347,28 +365,83 @@ namespace ChatRAG.Services.TextServices
             var ids = new List<string>();
             var errors = new List<Exception>();
 
-            // Processa em lotes menores para performance
-            var batchSize = 10;
-            for (int i = 0; i < documents.Count; i += batchSize)
-            {
-                var batch = documents.Skip(i).Take(batchSize);
-                var tasks = batch.Select(async doc =>
-                {
-                    try
-                    {
-                        var id = await SaveDocumentAsync(doc);
-                        return id;
-                    }
-                    catch (Exception ex)
-                    {
-                        errors.Add(ex);
-                        _logger.LogError(ex, "Erro ao salvar documento '{Title}' em lote", doc.Title);
-                        return null;
-                    }
-                });
+            // Agrupa documentos por projeto para otimizar embeddings
+            var documentsByProject = documents.GroupBy(d => d.ProjectId).ToList();
 
-                var batchResults = await Task.WhenAll(tasks);
-                ids.AddRange(batchResults.Where(id => id != null)!);
+            foreach (var projectGroup in documentsByProject)
+            {
+                var projectDocs = projectGroup.ToList();
+
+                // Processa em lotes menores dentro do projeto
+                var batchSize = 5; // Reduzido para evitar timeout
+                for (int i = 0; i < projectDocs.Count; i += batchSize)
+                {
+                    var batch = projectDocs.Skip(i).Take(batchSize);
+
+                    // Gera embeddings em paralelo para o lote
+                    var embeddingTasks = batch.Select(async doc =>
+                    {
+                        try
+                        {
+                            var embedding = await GenerateEmbeddingOptimized($"**{doc.Title}** \n\n {doc.Content}");
+                            return new { Document = doc, Embedding = embedding, Error = (Exception?)null };
+                        }
+                        catch (Exception ex)
+                        {
+                            return new { Document = doc, Embedding = (double[]?)null, Error = ex };
+                        }
+                    });
+
+                    var embeddingResults = await Task.WhenAll(embeddingTasks);
+
+                    // Salva documentos com embeddings gerados
+                    var saveTasks = embeddingResults.Select(async result =>
+                    {
+                        if (result.Error != null)
+                        {
+                            errors.Add(result.Error);
+                            return null;
+                        }
+
+                        try
+                        {
+                            string id;
+                            if (!string.IsNullOrEmpty(result.Document.Id))
+                            {
+                                await _vectorSearchService.UpdateDocumentAsync(
+                                    result.Document.Id,
+                                    result.Document.Title,
+                                    result.Document.Content,
+                                    result.Document.ProjectId,
+                                    result.Embedding!,
+                                    result.Document.Metadata);
+                                id = result.Document.Id;
+                            }
+                            else
+                            {
+                                id = await _vectorSearchService.AddDocumentAsync(
+                                    result.Document.Title,
+                                    result.Document.Content,
+                                    result.Document.ProjectId,
+                                    result.Embedding!,
+                                    result.Document.Metadata);
+                            }
+                            return id;
+                        }
+                        catch (Exception ex)
+                        {
+                            errors.Add(ex);
+                            _logger.LogError(ex, "Erro ao salvar documento '{Title}' em lote", result.Document.Title);
+                            return null;
+                        }
+                    });
+
+                    var batchResults = await Task.WhenAll(saveTasks);
+                    ids.AddRange(batchResults.Where(id => id != null)!);
+                }
+
+                // Atualiza cache para o projeto
+                _projectIdCache.TryAdd(projectGroup.Key, DateTime.UtcNow);
             }
 
             if (errors.Any())
@@ -387,8 +460,8 @@ namespace ChatRAG.Services.TextServices
         {
             var errors = new List<Exception>();
 
-            // Processa em lotes para não sobrecarregar
-            var batchSize = 20;
+            // Processa em lotes pequenos para não sobrecarregar
+            var batchSize = 10; // Reduzido para melhor estabilidade
             for (int i = 0; i < ids.Count; i += batchSize)
             {
                 var batch = ids.Skip(i).Take(batchSize);
@@ -396,7 +469,7 @@ namespace ChatRAG.Services.TextServices
                 {
                     try
                     {
-                        await DeleteDocumentAsync(id);
+                        await _vectorSearchService.DeleteDocumentAsync(id);
                         return true;
                     }
                     catch (Exception ex)
@@ -432,14 +505,28 @@ namespace ChatRAG.Services.TextServices
                 var baseStats = await _vectorSearchService.GetStatsAsync();
                 var totalDocs = await GetDocumentCountAsync();
 
-                // Adiciona estatísticas específicas do TextData
-                var projectIds = await GetAllProjectIds();
+                // Usa cache para project IDs
+                var projectIds = await GetAllProjectIdsOptimized();
                 var projectStats = new Dictionary<string, int>();
 
-                foreach (var projectId in projectIds)
+                // Busca contadores em paralelo
+                var countTasks = projectIds.Select(async projectId =>
                 {
-                    var count = await GetDocumentCountAsync(projectId);
-                    projectStats[projectId] = count;
+                    try
+                    {
+                        var count = await GetDocumentCountAsync(projectId);
+                        return new { ProjectId = projectId, Count = count };
+                    }
+                    catch
+                    {
+                        return new { ProjectId = projectId, Count = 0 };
+                    }
+                });
+
+                var countResults = await Task.WhenAll(countTasks);
+                foreach (var result in countResults)
+                {
+                    projectStats[result.ProjectId] = result.Count;
                 }
 
                 var enhancedStats = new Dictionary<string, object>(baseStats)
@@ -450,7 +537,9 @@ namespace ChatRAG.Services.TextServices
                     ["documents_by_project"] = projectStats,
                     ["supports_batch_operations"] = true,
                     ["supports_metadata"] = true,
-                    ["embedding_auto_generation"] = true
+                    ["embedding_auto_generation"] = true,
+                    ["cache_enabled"] = true,
+                    ["cached_project_ids"] = _projectIdCache.Count
                 };
 
                 return enhancedStats;
@@ -469,9 +558,100 @@ namespace ChatRAG.Services.TextServices
         }
 
         // ========================================
-        // MÉTODOS AUXILIARES PRIVADOS
+        // MÉTODOS AUXILIARES PRIVADOS OTIMIZADOS
         // ========================================
 
+        private async Task<double[]> GenerateEmbeddingOptimized(string content)
+        {
+            var embedding = await _embeddingService.GenerateEmbeddingAsync(content);
+            return embedding.ToArray().Select(e => (double)e).ToArray();
+        }
+
+        private static List<string> ParseTextIntoSections(string textoCompleto)
+        {
+            var textoArray = new List<string>();
+            string[] textolinhas = textoCompleto.Split(new string[] { "\n" }, StringSplitOptions.None);
+
+            var title = textolinhas[0];
+            var builder = new StringBuilder();
+
+            foreach (string line in textolinhas)
+            {
+                if (line.StartsWith("**") || line.StartsWith("\r**"))
+                {
+                    if (builder.Length > 0)
+                    {
+                        textoArray.Add(title.Replace("**", "").Replace("\r", "") + ": " + Environment.NewLine + builder.ToString());
+                        builder = new StringBuilder();
+                        title = line;
+                    }
+                }
+                else
+                {
+                    builder.AppendLine(line);
+                }
+            }
+
+            // Adiciona último bloco se houver
+            if (builder.Length > 0)
+            {
+                textoArray.Add(title.Replace("**", "").Replace("\r", "") + ": " + Environment.NewLine + builder.ToString());
+            }
+
+            return textoArray;
+        }
+
+        private async Task<List<string>> GetAllProjectIdsOptimized()
+        {
+            // Remove entradas expiradas do cache
+            var now = DateTime.UtcNow;
+            var expiredKeys = _projectIdCache
+                .Where(kvp => now - kvp.Value > _cacheTimeout)
+                .Select(kvp => kvp.Key)
+                .ToList();
+
+            foreach (var key in expiredKeys)
+            {
+                _projectIdCache.TryRemove(key, out _);
+            }
+
+            // Se temos dados no cache e não estão muito antigos, usa o cache
+            if (_projectIdCache.Any())
+            {
+                return _projectIdCache.Keys.ToList();
+            }
+
+            // Caso contrário, busca no Qdrant
+            try
+            {
+                // Esta busca é custosa, mas só será executada quando o cache estiver vazio
+                var allResults = await _vectorSearchService.SearchSimilarAsync(
+                    new double[384], // Vector dummy menor
+                    projectId: null,
+                    threshold: 0.0,
+                    limit: 1000); // Limit menor para melhor performance
+
+                var projectIds = allResults
+                    .Select(r => r.ProjectId)
+                    .Where(pid => !string.IsNullOrEmpty(pid))
+                    .Distinct()
+                    .ToList();
+
+                // Atualiza cache
+                foreach (var projectId in projectIds)
+                {
+                    _projectIdCache.TryAdd(projectId, now);
+                }
+
+                return projectIds;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Erro ao recuperar IDs de projetos do Qdrant");
+                return new List<string>();
+            }
+        }
+
         private static TextoComEmbedding ConvertToTextoComEmbedding(VectorSearchResult result)
         {
             return new TextoComEmbedding
@@ -488,35 +668,6 @@ namespace ChatRAG.Services.TextServices
                 Tags = result.Metadata?.GetValueOrDefault("tags") as string[] ?? Array.Empty<string>()
             };
         }
-
-        private async Task<List<string>> GetAllProjectIds()
-        {
-            try
-            {
-                // Esta é uma operação custosa no Qdrant
-                // Em produção, seria melhor manter um cache de project IDs
-                // ou usar uma estrutura de dados separada
-
-                // Por agora, vamos usar uma busca com um vetor dummy para pegar todos os documentos
-                var dummyVector = new double[1536]; // Assumindo embeddings OpenAI
-                var allResults = await _vectorSearchService.SearchSimilarAsync(
-                    dummyVector,
-                    projectId: null,
-                    threshold: 0.0,
-                    limit: 10000);
-
-                return allResults
-                    .Select(r => r.ProjectId)
-                    .Where(pid => !string.IsNullOrEmpty(pid))
-                    .Distinct()
-                    .ToList();
-            }
-            catch (Exception ex)
-            {
-                _logger.LogError(ex, "Erro ao recuperar IDs de projetos do Qdrant");
-                return new List<string>();
-            }
-        }
     }
 }
 

Settings/VectorDatabaseSettings.cs

@@ -1,156 +1,59 @@
-namespace ChatRAG.Settings
+using Microsoft.Extensions.AI;
+using Qdrant.Client.Grpc;
+
+namespace ChatRAG.Settings.ChatRAG.Configuration
 {
-    // ============================================================================
-    // 📁 Configuration/VectorDatabaseSettings.cs  
-    // Settings unificados para todos os providers (MongoDB, Qdrant, etc.)
-    // ============================================================================
-
-    namespace ChatRAG.Configuration
+    public class VectorDatabaseSettings
     {
+        public string Provider { get; set; } = "Qdrant";
+        public MongoDBSettings? MongoDB { get; set; }
+        public QdrantSettings? Qdrant { get; set; }
+        public ChromaSettings? Chroma { get; set; }
+        public EmbeddingSettings Embedding { get; set; } = new();
+
         /// <summary>
-        /// Configurações principais do sistema de Vector Database
+        /// Retorna erros de validação
         /// </summary>
-        public class VectorDatabaseSettings
+        public List<string> GetValidationErrors()
         {
-            /// <summary>
-            /// Provider ativo (MongoDB, Qdrant, Pinecone, etc.)
-            /// </summary>
-            public string Provider { get; set; } = "MongoDB";
+            var errors = new List<string>();
 
-            /// <summary>
-            /// Configurações específicas do MongoDB
-            /// </summary>
-            public MongoDbSettings MongoDB { get; set; } = new();
+            if (string.IsNullOrWhiteSpace(Provider))
+                errors.Add("Provider é obrigatório");
 
-            /// <summary>
-            /// Configurações específicas do Qdrant
-            /// </summary>
-            public QdrantSettings Qdrant { get; set; } = new();
-
-            /// <summary>
-            /// Configurações globais de embedding
-            /// </summary>
-            public EmbeddingSettings Embedding { get; set; } = new();
-
-            /// <summary>
-            /// Configurações de performance e cache
-            /// </summary>
-            public PerformanceSettings Performance { get; set; } = new();
-
-            /// <summary>
-            /// Configurações de logging e monitoramento
-            /// </summary>
-            public MonitoringSettings Monitoring { get; set; } = new();
-
-            /// <summary>
-            /// Valida se as configurações estão corretas
-            /// </summary>
-            public bool IsValid()
+            switch (Provider.ToLower())
             {
-                if (string.IsNullOrWhiteSpace(Provider))
-                    return false;
-
-                return Provider.ToLower() switch
-                {
-                    "mongodb" => MongoDB.IsValid(),
-                    "qdrant" => Qdrant.IsValid(),
-                    _ => false
-                };
+                case "mongodb":
+                    errors.AddRange(MongoDB.GetValidationErrors());
+                    break;
+                case "qdrant":
+                    errors.AddRange(Qdrant.GetValidationErrors());
+                    break;
+                case "chroma":
+                    errors.AddRange(Chroma.GetValidationErrors());
+                    break;
+                default:
+                    errors.Add($"Provider '{Provider}' não é suportado");
+                    break;
             }
 
-            /// <summary>
-            /// Retorna erros de validação
-            /// </summary>
-            public List<string> GetValidationErrors()
-            {
-                var errors = new List<string>();
+            errors.AddRange(Embedding.GetValidationErrors());
 
-                if (string.IsNullOrWhiteSpace(Provider))
-                    errors.Add("Provider é obrigatório");
-
-                switch (Provider.ToLower())
-                {
-                    case "mongodb":
-                        errors.AddRange(MongoDB.GetValidationErrors());
-                        break;
-                    case "qdrant":
-                        errors.AddRange(Qdrant.GetValidationErrors());
-                        break;
-                    default:
-                        errors.Add($"Provider '{Provider}' não é suportado");
-                        break;
-                }
-
-                errors.AddRange(Embedding.GetValidationErrors());
-
-                return errors;
-            }
+            return errors;
         }
+    }
 
-        /// <summary>
-        /// Configurações específicas do MongoDB
-        /// </summary>
-        public class MongoDbSettings
+    public class MongoDBSettings
+    {
+        public string ConnectionString { get; set; } = "";
+        public string DatabaseName { get; set; } = "";
+        public string TextCollectionName { get; set; } = "Texts";
+        public string ProjectCollectionName { get; set; } = "Groups";
+        public string UserDataName { get; set; } = "UserData";
+        public int ConnectionTimeoutSeconds { get; set; } = 30;
+
+        public List<string> GetValidationErrors()
         {
-            /// <summary>
-            /// String de conexão do MongoDB
-            /// </summary>
-            public string ConnectionString { get; set; } = string.Empty;
-
-            /// <summary>
-            /// Nome do banco de dados
-            /// </summary>
-            public string DatabaseName { get; set; } = string.Empty;
-
-            /// <summary>
-            /// Nome da coleção de textos/documentos
-            /// </summary>
-            public string TextCollectionName { get; set; } = "texts";
-
-            /// <summary>
-            /// Nome da coleção de projetos
-            /// </summary>
-            public string ProjectCollectionName { get; set; } = "projects";
-
-            /// <summary>
-            /// Nome da coleção de dados de usuário
-            /// </summary>
-            public string UserDataName { get; set; } = "users";
-
-            /// <summary>
-            /// Timeout de conexão em segundos
-            /// </summary>
-            public int ConnectionTimeoutSeconds { get; set; } = 30;
-
-            /// <summary>
-            /// Timeout de operação em segundos
-            /// </summary>
-            public int OperationTimeoutSeconds { get; set; } = 60;
-
-            /// <summary>
-            /// Tamanho máximo do pool de conexões
-            /// </summary>
-            public int MaxConnectionPoolSize { get; set; } = 100;
-
-            /// <summary>
-            /// Habilitar índices de busca vetorial
-            /// </summary>
-            public bool EnableVectorSearch { get; set; } = true;
-
-            /// <summary>
-            /// Configurações específicas do Atlas Search
-            /// </summary>
-            public MongoAtlasSearchSettings AtlasSearch { get; set; } = new();
-
-            public bool IsValid()
-            {
-                return !string.IsNullOrWhiteSpace(ConnectionString) &&
-                       !string.IsNullOrWhiteSpace(DatabaseName) &&
-                       !string.IsNullOrWhiteSpace(TextCollectionName);
-            }
-
-            public List<string> GetValidationErrors()
-            {
                 var errors = new List<string>();
 
                 if (string.IsNullOrWhiteSpace(ConnectionString))
@@ -166,329 +69,110 @@
                     errors.Add("MongoDB ConnectionTimeoutSeconds deve ser maior que 0");
 
                 return errors;
-            }
-        }
-
-        /// <summary>
-        /// Configurações do MongoDB Atlas Search
-        /// </summary>
-        public class MongoAtlasSearchSettings
-        {
-            /// <summary>
-            /// Nome do índice de busca vetorial
-            /// </summary>
-            public string VectorIndexName { get; set; } = "vector_index";
-
-            /// <summary>
-            /// Número de candidatos para busca aproximada
-            /// </summary>
-            public int NumCandidates { get; set; } = 200;
-
-            /// <summary>
-            /// Limite de resultados do Atlas Search
-            /// </summary>
-            public int SearchLimit { get; set; } = 100;
-        }
-
-        /// <summary>
-        /// Configurações específicas do Qdrant
-        /// </summary>
-        public class QdrantSettings
-        {
-            /// <summary>
-            /// Host do servidor Qdrant
-            /// </summary>
-            public string Host { get; set; } = "localhost";
-
-            /// <summary>
-            /// Porta do servidor Qdrant (REST API)
-            /// </summary>
-            public int Port { get; set; } = 6333;
-
-            /// <summary>
-            /// Porta gRPC (opcional, para performance)
-            /// </summary>
-            public int? GrpcPort { get; set; } = 6334;
-
-            /// <summary>
-            /// Chave de API (se autenticação estiver habilitada)
-            /// </summary>
-            public string? ApiKey { get; set; }
-
-            /// <summary>
-            /// Usar TLS/SSL
-            /// </summary>
-            public bool UseTls { get; set; } = false;
-
-            /// <summary>
-            /// Nome da coleção principal
-            /// </summary>
-            public string CollectionName { get; set; } = "documents";
-
-            /// <summary>
-            /// Tamanho do vetor de embedding
-            /// </summary>
-            public int VectorSize { get; set; } = 1536; // OpenAI embedding size
-
-            /// <summary>
-            /// Métrica de distância (Cosine, Euclid, Dot, Manhattan)
-            /// </summary>
-            public string Distance { get; set; } = "Cosine";
-
-            // ========================================
-            // CONFIGURAÇÕES DE PERFORMANCE
-            // ========================================
-
-            /// <summary>
-            /// Parâmetro M do algoritmo HNSW (conectividade)
-            /// Valores típicos: 16-48, maior = melhor recall, mais memória
-            /// </summary>
-            public int HnswM { get; set; } = 16;
-
-            /// <summary>
-            /// Parâmetro ef_construct do HNSW (construção do índice)
-            /// Valores típicos: 100-800, maior = melhor qualidade, mais lento
-            /// </summary>
-            public int HnswEfConstruct { get; set; } = 200;
-
-            /// <summary>
-            /// Parâmetro ef do HNSW (busca)
-            /// Valores típicos: igual ou maior que o número de resultados desejados
-            /// </summary>
-            public int HnswEf { get; set; } = 128;
-
-            /// <summary>
-            /// Armazenar vetores em disco (economiza RAM)
-            /// </summary>
-            public bool OnDisk { get; set; } = false;
-
-            /// <summary>
-            /// Fator de replicação (para clusters)
-            /// </summary>
-            public int ReplicationFactor { get; set; } = 1;
-
-            /// <summary>
-            /// Número de shards (para distribuição)
-            /// </summary>
-            public int ShardNumber { get; set; } = 1;
-
-            /// <summary>
-            /// Usar quantização para reduzir uso de memória
-            /// </summary>
-            public bool UseQuantization { get; set; } = false;
-
-            /// <summary>
-            /// Configurações de quantização
-            /// </summary>
-            public QuantizationSettings Quantization { get; set; } = new();
-
-            /// <summary>
-            /// Timeout de conexão em segundos
-            /// </summary>
-            public int ConnectionTimeoutSeconds { get; set; } = 30;
-
-            /// <summary>
-            /// Timeout de operação em segundos
-            /// </summary>
-            public int OperationTimeoutSeconds { get; set; } = 60;
-
-            /// <summary>
-            /// URL completa calculada
-            /// </summary>
-            public string GetConnectionUrl()
-            {
-                var protocol = UseTls ? "https" : "http";
-                return $"{protocol}://{Host}:{Port}";
-            }
-
-            public bool IsValid()
-            {
-                return !string.IsNullOrWhiteSpace(Host) &&
-                       Port > 0 &&
-                       !string.IsNullOrWhiteSpace(CollectionName) &&
-                       VectorSize > 0;
-            }
-
-            public List<string> GetValidationErrors()
-            {
-                var errors = new List<string>();
-
-                if (string.IsNullOrWhiteSpace(Host))
-                    errors.Add("Qdrant Host é obrigatório");
-
-                if (Port <= 0)
-                    errors.Add("Qdrant Port deve ser maior que 0");
-
-                if (string.IsNullOrWhiteSpace(CollectionName))
-                    errors.Add("Qdrant CollectionName é obrigatório");
-
-                if (VectorSize <= 0)
-                    errors.Add("Qdrant VectorSize deve ser maior que 0");
-
-                if (HnswM <= 0)
-                    errors.Add("Qdrant HnswM deve ser maior que 0");
-
-                if (HnswEfConstruct <= 0)
-                    errors.Add("Qdrant HnswEfConstruct deve ser maior que 0");
-
-                var validDistances = new[] { "Cosine", "Euclid", "Dot", "Manhattan" };
-                if (!validDistances.Contains(Distance))
-                    errors.Add($"Qdrant Distance deve ser um de: {string.Join(", ", validDistances)}");
-
-                return errors;
-            }
-        }
-
-        /// <summary>
-        /// Configurações de quantização para Qdrant
-        /// </summary>
-        public class QuantizationSettings
-        {
-            /// <summary>
-            /// Tipo de quantização (scalar, product, binary)
-            /// </summary>
-            public string Type { get; set; } = "scalar";
-
-            /// <summary>
-            /// Quantil para quantização scalar
-            /// </summary>
-            public double Quantile { get; set; } = 0.99;
-
-            /// <summary>
-            /// Sempre usar RAM para quantização
-            /// </summary>
-            public bool AlwaysRam { get; set; } = false;
-        }
-
-        /// <summary>
-        /// Configurações globais de embedding
-        /// </summary>
-        public class EmbeddingSettings
-        {
-            /// <summary>
-            /// Provider de embedding (OpenAI, Ollama, Azure, etc.)
-            /// </summary>
-            public string Provider { get; set; } = "OpenAI";
-
-            /// <summary>
-            /// Modelo de embedding
-            /// </summary>
-            public string Model { get; set; } = "text-embedding-ada-002";
-
-            /// <summary>
-            /// Tamanho esperado do embedding
-            /// </summary>
-            public int ExpectedSize { get; set; } = 1536;
-
-            /// <summary>
-            /// Batch size para processamento em lote
-            /// </summary>
-            public int BatchSize { get; set; } = 100;
-
-            /// <summary>
-            /// Cache de embeddings em memória
-            /// </summary>
-            public bool EnableCache { get; set; } = true;
-
-            /// <summary>
-            /// TTL do cache em minutos
-            /// </summary>
-            public int CacheTtlMinutes { get; set; } = 60;
-
-            public List<string> GetValidationErrors()
-            {
-                var errors = new List<string>();
-
-                if (ExpectedSize <= 0)
-                    errors.Add("Embedding ExpectedSize deve ser maior que 0");
-
-                if (BatchSize <= 0)
-                    errors.Add("Embedding BatchSize deve ser maior que 0");
-
-                return errors;
-            }
-        }
-
-        /// <summary>
-        /// Configurações de performance e otimização
-        /// </summary>
-        public class PerformanceSettings
-        {
-            /// <summary>
-            /// Habilitar paralelização em operações de lote
-            /// </summary>
-            public bool EnableParallelization { get; set; } = true;
-
-            /// <summary>
-            /// Número máximo de threads paralelas
-            /// </summary>
-            public int MaxParallelism { get; set; } = Environment.ProcessorCount;
-
-            /// <summary>
-            /// Tamanho do batch para operações em lote
-            /// </summary>
-            public int BatchSize { get; set; } = 100;
-
-            /// <summary>
-            /// Timeout padrão para operações em segundos
-            /// </summary>
-            public int DefaultTimeoutSeconds { get; set; } = 30;
-
-            /// <summary>
-            /// Habilitar retry automático
-            /// </summary>
-            public bool EnableRetry { get; set; } = true;
-
-            /// <summary>
-            /// Número máximo de tentativas
-            /// </summary>
-            public int MaxRetryAttempts { get; set; } = 3;
-
-            /// <summary>
-            /// Delay entre tentativas em segundos
-            /// </summary>
-            public int RetryDelaySeconds { get; set; } = 2;
-        }
-
-        /// <summary>
-        /// Configurações de monitoramento e logging
-        /// </summary>
-        public class MonitoringSettings
-        {
-            /// <summary>
-            /// Habilitar logging detalhado
-            /// </summary>
-            public bool EnableDetailedLogging { get; set; } = false;
-
-            /// <summary>
-            /// Logar tempos de operação
-            /// </summary>
-            public bool LogOperationTimes { get; set; } = true;
-
-            /// <summary>
-            /// Threshold para log de operações lentas (ms)
-            /// </summary>
-            public int SlowOperationThresholdMs { get; set; } = 1000;
-
-            /// <summary>
-            /// Habilitar métricas de performance
-            /// </summary>
-            public bool EnableMetrics { get; set; } = true;
-
-            /// <summary>
-            /// Intervalo de coleta de métricas em segundos
-            /// </summary>
-            public int MetricsIntervalSeconds { get; set; } = 60;
-
-            /// <summary>
-            /// Habilitar health checks
-            /// </summary>
-            public bool EnableHealthChecks { get; set; } = true;
-
-            /// <summary>
-            /// Intervalo de health check em segundos
-            /// </summary>
-            public int HealthCheckIntervalSeconds { get; set; } = 30;
         }
     }
-}
+
+    public class QdrantSettings
+    {
+        public string Host { get; set; } = "localhost";
+        public int Port { get; set; } = 6334;
+        public string CollectionName { get; set; } = "texts";
+        public string GroupsCollectionName { get; set; } = "projects";
+        public int VectorSize { get; set; } = 384;
+        public string Distance { get; set; } = "Cosine";
+        public int HnswM { get; set; } = 16;
+        public int HnswEfConstruct { get; set; } = 200;
+        public bool OnDisk { get; set; } = false;
+        public bool UseTls { get; set; } = false;
+
+        public List<string> GetValidationErrors()
+        {
+            var errors = new List<string>();
+
+            if (string.IsNullOrWhiteSpace(Host))
+                errors.Add("Qdrant Host é obrigatório");
+
+            if (Port <= 0)
+                errors.Add("Qdrant Port deve ser maior que 0");
+
+            if (string.IsNullOrWhiteSpace(CollectionName))
+                errors.Add("Qdrant CollectionName é obrigatório");
+
+            if (VectorSize <= 0)
+                errors.Add("Qdrant VectorSize deve ser maior que 0");
+
+            if (HnswM <= 0)
+                errors.Add("Qdrant HnswM deve ser maior que 0");
+
+            if (HnswEfConstruct <= 0)
+                errors.Add("Qdrant HnswEfConstruct deve ser maior que 0");
+
+            var validDistances = new[] { "Cosine", "Euclid", "Dot", "Manhattan" };
+            if (!validDistances.Contains(Distance))
+                errors.Add($"Qdrant Distance deve ser um de: {string.Join(", ", validDistances)}");
+
+            return errors;
+        }
+    }
+
+    public class ChromaSettings
+    {
+        public string Host { get; set; } = "localhost";
+        public int Port { get; set; } = 8000;
+        public string CollectionName { get; set; } = "rag_documents";
+        public string ApiVersion { get; set; } = "v1";
+
+        public List<string> GetValidationErrors()
+        {
+            var errors = new List<string>();
+
+            return errors;
+        }
+    }
+
+    public class EmbeddingSettings
+    {
+        /// <summary>
+        /// Provider de embedding (OpenAI, Ollama, Azure, etc.)
+        /// </summary>
+        public string Provider { get; set; } = "OpenAI";
+
+        /// <summary>
+        /// Modelo de embedding
+        /// </summary>
+        public string Model { get; set; } = "text-embedding-ada-002";
+
+        /// <summary>
+        /// Tamanho esperado do embedding
+        /// </summary>
+        public int ExpectedSize { get; set; } = 1536;
+
+        /// <summary>
+        /// Batch size para processamento em lote
+        /// </summary>
+        public int BatchSize { get; set; } = 100;
+
+        /// <summary>
+        /// Cache de embeddings em memória
+        /// </summary>
+        public bool EnableCache { get; set; } = true;
+
+        /// <summary>
+        /// TTL do cache em minutos
+        /// </summary>
+        public int CacheTtlMinutes { get; set; } = 60;
+
+        public List<string> GetValidationErrors()
+        {
+            var errors = new List<string>();
+
+            if (ExpectedSize <= 0)
+                errors.Add("Embedding ExpectedSize deve ser maior que 0");
+
+            if (BatchSize <= 0)
+                errors.Add("Embedding BatchSize deve ser maior que 0");
+
+            return errors;
+        }
+    }
+}

Settings/gckijn3t.ir5~

@@ -0,0 +1,128 @@
+using Microsoft.Extensions.AI;
+using Qdrant.Client.Grpc;
+
+namespace ChatRAG.Settings.ChatRAG.Configuration
+{
+    public class VectorDatabaseSettings
+    {
+        public string Provider { get; set; } = "Qdrant";
+        public MongoDBSettings? MongoDB { get; set; }
+        public QdrantSettings? Qdrant { get; set; }
+        public ChromaSettings? Chroma { get; set; }
+
+        /// <summary>
+        /// Retorna erros de validação
+        /// </summary>
+        public List<string> GetValidationErrors()
+        {
+            var errors = new List<string>();
+
+            if (string.IsNullOrWhiteSpace(Provider))
+                errors.Add("Provider é obrigatório");
+
+            switch (Provider.ToLower())
+            {
+                case "mongodb":
+                    errors.AddRange(MongoDB.GetValidationErrors());
+                    break;
+                case "qdrant":
+                    errors.AddRange(Qdrant.GetValidationErrors());
+                    break;
+                default:
+                    errors.Add($"Provider '{Provider}' não é suportado");
+                    break;
+            }
+
+            errors.AddRange(Embedding.GetValidationErrors());
+
+            return errors;
+        }
+    }
+}
+
+    public class MongoDBSettings
+    {
+        public string ConnectionString { get; set; } = "";
+        public string DatabaseName { get; set; } = "";
+        public string TextCollectionName { get; set; } = "Texts";
+        public string ProjectCollectionName { get; set; } = "Groups";
+        public string UserDataName { get; set; } = "UserData";
+        public int ConnectionTimeoutSeconds { get; set; } = 30;
+
+        public List<string> GetValidationErrors()
+        {
+                var errors = new List<string>();
+
+                if (string.IsNullOrWhiteSpace(ConnectionString))
+                    errors.Add("MongoDB ConnectionString é obrigatória");
+
+                if (string.IsNullOrWhiteSpace(DatabaseName))
+                    errors.Add("MongoDB DatabaseName é obrigatório");
+
+                if (string.IsNullOrWhiteSpace(TextCollectionName))
+                    errors.Add("MongoDB TextCollectionName é obrigatório");
+
+                if (ConnectionTimeoutSeconds <= 0)
+                    errors.Add("MongoDB ConnectionTimeoutSeconds deve ser maior que 0");
+
+                return errors;
+        }
+    }
+
+    public class QdrantSettings
+    {
+        public string Host { get; set; } = "localhost";
+        public int Port { get; set; } = 6334;
+        public string CollectionName { get; set; } = "texts";
+        public int VectorSize { get; set; } = 384;
+        public string Distance { get; set; } = "Cosine";
+        public int HnswM { get; set; } = 16;
+        public int HnswEfConstruct { get; set; } = 200;
+        public bool OnDisk { get; set; } = false;
+        public bool UseTls { get; set; } = false;
+
+        public List<string> GetValidationErrors()
+        {
+            var errors = new List<string>();
+
+            if (string.IsNullOrWhiteSpace(Host))
+                errors.Add("Qdrant Host é obrigatório");
+
+            if (Port <= 0)
+                errors.Add("Qdrant Port deve ser maior que 0");
+
+            if (string.IsNullOrWhiteSpace(CollectionName))
+                errors.Add("Qdrant CollectionName é obrigatório");
+
+            if (VectorSize <= 0)
+                errors.Add("Qdrant VectorSize deve ser maior que 0");
+
+            if (HnswM <= 0)
+                errors.Add("Qdrant HnswM deve ser maior que 0");
+
+            if (HnswEfConstruct <= 0)
+                errors.Add("Qdrant HnswEfConstruct deve ser maior que 0");
+
+            var validDistances = new[] { "Cosine", "Euclid", "Dot", "Manhattan" };
+            if (!validDistances.Contains(Distance))
+                errors.Add($"Qdrant Distance deve ser um de: {string.Join(", ", validDistances)}");
+
+            return errors;
+        }
+    }
+
+    public class ChromaSettings
+    {
+        public string Host { get; set; } = "localhost";
+        public int Port { get; set; } = 8000;
+        public string CollectionName { get; set; } = "rag_documents";
+        public string ApiVersion { get; set; } = "v1";
+
+        public List<string> GetValidationErrors()
+        {
+            var errors = new List<string>();
+
+            return errors;
+        }
+    }
+}

Settings/ghcutjxi.wn3~

@@ -0,0 +1,120 @@
+using Microsoft.Extensions.AI;
+
+namespace ChatRAG.Settings.ChatRAG.Configuration
+{
+    public class VectorDatabaseSettings
+    {
+        public string Provider { get; set; } = "Qdrant";
+        public MongoDBSettings? MongoDB { get; set; }
+        public QdrantSettings? Qdrant { get; set; }
+        public ChromaSettings? Chroma { get; set; }
+
+        /// <summary>
+        /// Retorna erros de validação
+        /// </summary>
+        public List<string> GetValidationErrors()
+        {
+            var errors = new List<string>();
+
+            if (string.IsNullOrWhiteSpace(Provider))
+                errors.Add("Provider é obrigatório");
+
+            switch (Provider.ToLower())
+            {
+                case "mongodb":
+                    errors.AddRange(MongoDB.GetValidationErrors());
+                    break;
+                case "qdrant":
+                    errors.AddRange(Qdrant.GetValidationErrors());
+                    break;
+                default:
+                    errors.Add($"Provider '{Provider}' não é suportado");
+                    break;
+            }
+
+            errors.AddRange(Embedding.GetValidationErrors());
+
+            return errors;
+        }
+    }
+}
+
+    public class MongoDBSettings
+    {
+        public string ConnectionString { get; set; } = "";
+        public string DatabaseName { get; set; } = "";
+        public string TextCollectionName { get; set; } = "Texts";
+        public string ProjectCollectionName { get; set; } = "Groups";
+        public string UserDataName { get; set; } = "UserData";
+        public int ConnectionTimeoutSeconds { get; set; } = 30;
+
+        public List<string> GetValidationErrors()
+        {
+                var errors = new List<string>();
+
+                if (string.IsNullOrWhiteSpace(ConnectionString))
+                    errors.Add("MongoDB ConnectionString é obrigatória");
+
+                if (string.IsNullOrWhiteSpace(DatabaseName))
+                    errors.Add("MongoDB DatabaseName é obrigatório");
+
+                if (string.IsNullOrWhiteSpace(TextCollectionName))
+                    errors.Add("MongoDB TextCollectionName é obrigatório");
+
+                if (ConnectionTimeoutSeconds <= 0)
+                    errors.Add("MongoDB ConnectionTimeoutSeconds deve ser maior que 0");
+
+                return errors;
+        }
+    }
+
+    public class QdrantSettings
+    {
+        public string Host { get; set; } = "localhost";
+        public int Port { get; set; } = 6334;
+        public string CollectionName { get; set; } = "texts";
+        public int VectorSize { get; set; } = 384;
+        public string Distance { get; set; } = "Cosine";
+        public int HnswM { get; set; } = 16;
+        public int HnswEfConstruct { get; set; } = 200;
+        public bool OnDisk { get; set; } = false;
+        public bool UseTls { get; set; } = false;
+
+        public List<string> GetValidationErrors()
+        {
+            var errors = new List<string>();
+
+            if (string.IsNullOrWhiteSpace(Host))
+                errors.Add("Qdrant Host é obrigatório");
+
+            if (Port <= 0)
+                errors.Add("Qdrant Port deve ser maior que 0");
+
+            if (string.IsNullOrWhiteSpace(CollectionName))
+                errors.Add("Qdrant CollectionName é obrigatório");
+
+            if (VectorSize <= 0)
+                errors.Add("Qdrant VectorSize deve ser maior que 0");
+
+            if (HnswM <= 0)
+                errors.Add("Qdrant HnswM deve ser maior que 0");
+
+            if (HnswEfConstruct <= 0)
+                errors.Add("Qdrant HnswEfConstruct deve ser maior que 0");
+
+            var validDistances = new[] { "Cosine", "Euclid", "Dot", "Manhattan" };
+            if (!validDistances.Contains(Distance))
+                errors.Add($"Qdrant Distance deve ser um de: {string.Join(", ", validDistances)}");
+
+            return errors;
+        }
+    }
+
+    public class ChromaSettings
+    {
+        public string Host { get; set; } = "localhost";
+        public int Port { get; set; } = 8000;
+        public string CollectionName { get; set; } = "rag_documents";
+        public string ApiVersion { get; set; } = "v1";
+    }
+}

Settings/ixb5gark.btp~

@@ -0,0 +1,91 @@
+using Microsoft.Extensions.AI;
+
+namespace ChatRAG.Settings.ChatRAG.Configuration
+{
+    public class VectorDatabaseSettings
+    {
+        public string Provider { get; set; } = "Qdrant";
+        public MongoDBSettings? MongoDB { get; set; }
+        public QdrantSettings? Qdrant { get; set; }
+        public ChromaSettings? Chroma { get; set; }
+
+        /// <summary>
+        /// Retorna erros de validação
+        /// </summary>
+        public List<string> GetValidationErrors()
+        {
+            var errors = new List<string>();
+
+            if (string.IsNullOrWhiteSpace(Provider))
+                errors.Add("Provider é obrigatório");
+
+            switch (Provider.ToLower())
+            {
+                case "mongodb":
+                    errors.AddRange(MongoDB.GetValidationErrors());
+                    break;
+                case "qdrant":
+                    errors.AddRange(Qdrant.GetValidationErrors());
+                    break;
+                default:
+                    errors.Add($"Provider '{Provider}' não é suportado");
+                    break;
+            }
+
+            errors.AddRange(Embedding.GetValidationErrors());
+
+            return errors;
+        }
+    }
+}
+
+    public class MongoDBSettings
+    {
+        public string ConnectionString { get; set; } = "";
+        public string DatabaseName { get; set; } = "";
+        public string TextCollectionName { get; set; } = "Texts";
+        public string ProjectCollectionName { get; set; } = "Groups";
+        public string UserDataName { get; set; } = "UserData";
+        public int ConnectionTimeoutSeconds { get; set; } = 30;
+
+        public List<string> GetValidationErrors()
+        {
+                var errors = new List<string>();
+
+                if (string.IsNullOrWhiteSpace(ConnectionString))
+                    errors.Add("MongoDB ConnectionString é obrigatória");
+
+                if (string.IsNullOrWhiteSpace(DatabaseName))
+                    errors.Add("MongoDB DatabaseName é obrigatório");
+
+                if (string.IsNullOrWhiteSpace(TextCollectionName))
+                    errors.Add("MongoDB TextCollectionName é obrigatório");
+
+                if (ConnectionTimeoutSeconds <= 0)
+                    errors.Add("MongoDB ConnectionTimeoutSeconds deve ser maior que 0");
+
+                return errors;
+        }
+    }
+
+    public class QdrantSettings
+    {
+        public string Host { get; set; } = "localhost";
+        public int Port { get; set; } = 6334;
+        public string CollectionName { get; set; } = "texts";
+        public int VectorSize { get; set; } = 384;
+        public string Distance { get; set; } = "Cosine";
+        public int HnswM { get; set; } = 16;
+        public int HnswEfConstruct { get; set; } = 200;
+        public bool OnDisk { get; set; } = false;
+        public bool UseTls { get; set; } = false;
+    }
+
+    public class ChromaSettings
+    {
+        public string Host { get; set; } = "localhost";
+        public int Port { get; set; } = 8000;
+        public string CollectionName { get; set; } = "rag_documents";
+        public string ApiVersion { get; set; } = "v1";
+    }
+}

Settings/vwuy0ebd.cjy~

@@ -0,0 +1,174 @@
+using Microsoft.Extensions.AI;
+using Qdrant.Client.Grpc;
+
+namespace ChatRAG.Settings.ChatRAG.Configuration
+{
+    public class VectorDatabaseSettings
+    {
+        public string Provider { get; set; } = "Qdrant";
+        public MongoDBSettings? MongoDB { get; set; }
+        public QdrantSettings? Qdrant { get; set; }
+        public ChromaSettings? Chroma { get; set; }
+        public EmbeddingSettings Embedding { get; set; } = new();
+
+        /// <summary>
+        /// Retorna erros de validação
+        /// </summary>
+        public List<string> GetValidationErrors()
+        {
+            var errors = new List<string>();
+
+            if (string.IsNullOrWhiteSpace(Provider))
+                errors.Add("Provider é obrigatório");
+
+            switch (Provider.ToLower())
+            {
+                case "mongodb":
+                    errors.AddRange(MongoDB.GetValidationErrors());
+                    break;
+                case "qdrant":
+                    errors.AddRange(Qdrant.GetValidationErrors());
+                    break;
+                default:
+                    errors.Add($"Provider '{Provider}' não é suportado");
+                    break;
+            }
+
+            errors.AddRange(Embedding.GetValidationErrors());
+
+            return errors;
+        }
+    }
+
+    public class MongoDBSettings
+    {
+        public string ConnectionString { get; set; } = "";
+        public string DatabaseName { get; set; } = "";
+        public string TextCollectionName { get; set; } = "Texts";
+        public string ProjectCollectionName { get; set; } = "Groups";
+        public string UserDataName { get; set; } = "UserData";
+        public int ConnectionTimeoutSeconds { get; set; } = 30;
+
+        public List<string> GetValidationErrors()
+        {
+                var errors = new List<string>();
+
+                if (string.IsNullOrWhiteSpace(ConnectionString))
+                    errors.Add("MongoDB ConnectionString é obrigatória");
+
+                if (string.IsNullOrWhiteSpace(DatabaseName))
+                    errors.Add("MongoDB DatabaseName é obrigatório");
+
+                if (string.IsNullOrWhiteSpace(TextCollectionName))
+                    errors.Add("MongoDB TextCollectionName é obrigatório");
+
+                if (ConnectionTimeoutSeconds <= 0)
+                    errors.Add("MongoDB ConnectionTimeoutSeconds deve ser maior que 0");
+
+                return errors;
+        }
+    }
+
+    public class QdrantSettings
+    {
+        public string Host { get; set; } = "localhost";
+        public int Port { get; set; } = 6334;
+        public string CollectionName { get; set; } = "texts";
+        public int VectorSize { get; set; } = 384;
+        public string Distance { get; set; } = "Cosine";
+        public int HnswM { get; set; } = 16;
+        public int HnswEfConstruct { get; set; } = 200;
+        public bool OnDisk { get; set; } = false;
+        public bool UseTls { get; set; } = false;
+
+        public List<string> GetValidationErrors()
+        {
+            var errors = new List<string>();
+
+            if (string.IsNullOrWhiteSpace(Host))
+                errors.Add("Qdrant Host é obrigatório");
+
+            if (Port <= 0)
+                errors.Add("Qdrant Port deve ser maior que 0");
+
+            if (string.IsNullOrWhiteSpace(CollectionName))
+                errors.Add("Qdrant CollectionName é obrigatório");
+
+            if (VectorSize <= 0)
+                errors.Add("Qdrant VectorSize deve ser maior que 0");
+
+            if (HnswM <= 0)
+                errors.Add("Qdrant HnswM deve ser maior que 0");
+
+            if (HnswEfConstruct <= 0)
+                errors.Add("Qdrant HnswEfConstruct deve ser maior que 0");
+
+            var validDistances = new[] { "Cosine", "Euclid", "Dot", "Manhattan" };
+            if (!validDistances.Contains(Distance))
+                errors.Add($"Qdrant Distance deve ser um de: {string.Join(", ", validDistances)}");
+
+            return errors;
+        }
+    }
+
+    public class ChromaSettings
+    {
+        public string Host { get; set; } = "localhost";
+        public int Port { get; set; } = 8000;
+        public string CollectionName { get; set; } = "rag_documents";
+        public string ApiVersion { get; set; } = "v1";
+
+        public List<string> GetValidationErrors()
+        {
+            var errors = new List<string>();
+
+            return errors;
+        }
+    }
+
+    public class EmbeddingSettings
+    {
+        /// <summary>
+        /// Provider de embedding (OpenAI, Ollama, Azure, etc.)
+        /// </summary>
+        public string Provider { get; set; } = "OpenAI";
+
+        /// <summary>
+        /// Modelo de embedding
+        /// </summary>
+        public string Model { get; set; } = "text-embedding-ada-002";
+
+        /// <summary>
+        /// Tamanho esperado do embedding
+        /// </summary>
+        public int ExpectedSize { get; set; } = 1536;
+
+        /// <summary>
+        /// Batch size para processamento em lote
+        /// </summary>
+        public int BatchSize { get; set; } = 100;
+
+        /// <summary>
+        /// Cache de embeddings em memória
+        /// </summary>
+        public bool EnableCache { get; set; } = true;
+
+        /// <summary>
+        /// TTL do cache em minutos
+        /// </summary>
+        public int CacheTtlMinutes { get; set; } = 60;
+
+        public List<string> GetValidationErrors()
+        {
+            var errors = new List<string>();
+
+            if (ExpectedSize <= 0)
+                errors.Add("Embedding ExpectedSize deve ser maior que 0");
+
+            if (BatchSize <= 0)
+                errors.Add("Embedding BatchSize deve ser maior que 0");
+
+            return errors;
+        }
+    }
+}

appsettings.json

@@ -7,7 +7,7 @@
     }
   },
   "VectorDatabase": {
-    "Provider": "Qdrant", 
+    "Provider": "Qdrant",
     "MongoDB": {
       "ConnectionString": "mongodb://admin:c4rn31r0@k3sw2:27017,k3ss1:27017/?authSource=admin",
       "DatabaseName": "RAGProjects-dev-pt",
@@ -19,15 +19,22 @@
       "Host": "localhost",
       "Port": 6334,
       "CollectionName": "texts",
+      "GroupsCollectionName": "projects",
       "VectorSize": 384,
       "Distance": "Cosine",
       "HnswM": 16,
       "HnswEfConstruct": 200,
       "OnDisk": false
+    },
+    "Chroma": {
+      "Host": "localhost",
+      "Port": 8000,
+      "CollectionName": "rag_documents"
     }
   },
   "Features": {
-    "UseQdrant": true
+    "UseQdrant": true,
+    "UseHierarchicalRAG": true
   },
   "AllowedHosts": "*",
   "AppTenantId": "20190830-5fd4-4a72-b8fd-1c1cb35b25bc",