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Refactor: migrate to Microsoft.Agents.AI for RAG/chat

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Replaced SemanticKernel with Microsoft.Agents.AI and agent-based abstractions for chat and RAG workflows. Removed ChatService in favor of AIAgent instances for question reformulation and answering. Added agent registration/configuration in Program.cs, new RagResponse record, and ContextProvider for context search. Introduced HybridCacheSessionStoreService for session persistence. Switched to direct OpenAIClient usage with request tracing. Reduced max relevant context chunks to 30. Removed SemanticKernel from project references and suppressed MEAI001 warning. Refactored code for improved style and DI alignment.
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Marco Minerva
2026-06-17 16:25:09 +02:00
parent 8a761ddcd7
commit a39a81166a
9 changed files with 300 additions and 363 deletions
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SqlDatabaseVectorSearch/Workflows/GenerateEmbeddingExecutor.cs
+1 -2
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@@ -2,13 +2,12 @@
using Microsoft.Extensions.AI;
using Microsoft.Extensions.Options;
using SqlDatabaseVectorSearch.ContentDecoders;
using SqlDatabaseVectorSearch.Models;
using SqlDatabaseVectorSearch.Services;
using SqlDatabaseVectorSearch.Settings;
namespace SqlDatabaseVectorSearch.Workflows;
public partial class GenerateEmbeddingExecutor(IServiceProvider serviceProvider, IEmbeddingGenerator<string, Embedding<float>> embeddingGenerator, TokenizerService tokenizerService, IOptions<AppSettings> appSettingsOptions, ILogger<VectorSearchService> logger) : Executor(nameof(GenerateEmbeddingExecutor))
public partial class GenerateEmbeddingExecutor(IServiceProvider serviceProvider, IEmbeddingGenerator<string, Embedding<float>> embeddingGenerator, TokenizerService tokenizerService, IOptions<AppSettings> appSettingsOptions, ILogger<GenerateEmbeddingExecutor> logger) : Executor(nameof(GenerateEmbeddingExecutor))
{
private readonly AppSettings appSettings = appSettingsOptions.Value;
SqlDatabaseVectorSearch/Workflows/StoreEmbeddingExecutor.cs
+1 -1
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@@ -7,7 +7,7 @@ using Entities = SqlDatabaseVectorSearch.Data.Entities;
namespace SqlDatabaseVectorSearch.Workflows;
public partial class StoreEmbeddingExecutor(ApplicationDbContext dbContext, DocumentService documentService, TokenizerService tokenizerService, TimeProvider timeProvider, ILogger<VectorSearchService> logger) : Executor(nameof(StoreEmbeddingExecutor))
public partial class StoreEmbeddingExecutor(ApplicationDbContext dbContext, DocumentService documentService, TokenizerService tokenizerService, TimeProvider timeProvider, ILogger<StoreEmbeddingExecutor> logger) : Executor(nameof(StoreEmbeddingExecutor))
{
[MessageHandler]
private async ValueTask<StoreEmbeddingResponse> HandleAsync(EmbeddingResponse embeddingData, IWorkflowContext context, CancellationToken cancellationToken)