Refactored the embedding workflow to introduce ExtractChunksExecutor, responsible for content decoding and chunk extraction before embedding generation. Registered ExtractChunksExecutor and GenerateEmbeddingExecutor as singletons, and StoreEmbeddingExecutor as scoped in DI. Updated workflow to sequence ExtractChunksExecutor → GenerateEmbeddingExecutor → StoreEmbeddingExecutor. Modified GenerateEmbeddingExecutor to accept ExtractChunksResponse. Updated ChatClientAgentOptions usage to use object initializers for clarity. Added ExtractChunksExecutor.cs.
Updated documentation and UI to clarify support for both Azure SQL Database and SQL Server 2025+ for native VECTOR type storage and search. Improved README with accurate prerequisites, setup instructions, and detailed ModelId usage guidance. Clarified streaming response availability in both Blazor and API. Fixed typos and improved wording in UI messages. Enhanced code comments for clarity and accuracy, including ModelId guidance in appsettings.json.
Consolidate embedding request logic into a new EmbeddingRequest record with static factory methods for IFormFile and stream input. Remove FormFileToEmbeddingRequestExecutor and FormFileEmbeddingRequest, updating all usages and dependency injection accordingly. Clean up related code in Program.cs, VectorSearchService, and _Imports.razor. Enhance XML documentation for EmbeddingRequest to clarify intent and usage.
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.
Replaces the direct import logic with a workflow using Microsoft.Agents.AI.Workflows. Adds executors for file conversion, embedding generation, and storage. Updates dependency injection, API endpoint, and UI to use the new workflow. Replaces ImportDocumentResponse with StoreEmbeddingResponse. Adds required NuGet packages.
Marco Minerva