Refactored code to utilize Dapper's `ExecuteAsync` and `ExecuteScalarAsync` methods, reducing boilerplate and simplifying SQL command execution. Updated `DeleteDocumentAsync` to a concise expression-bodied member. Replaced manual SQL parameter addition with anonymous objects for better readability and maintainability. Transaction handling remains unchanged to ensure consistent database operations.
Updated README.md for clarity and additional setup instructions:
- Refined repository description to highlight native Vector type.
- Rephrased note on Vector Support feature for readability.
- Removed mention of EFCore.SqlServer.VectorSearch library.
- Added instructions for updating VECTOR column size and setting Dimension property.
Added comment in Scripts.sql to guide vector size setting in Embedding column.
Cleaned up VectorSearchService.cs by removing unused and commented-out SQL command execution code.
Refactored `VectorSearchService.cs` to use Dapper for DB operations, replacing raw ADO.NET commands. Updated methods for inserting, retrieving, and deleting documents and chunks. Modified vector search query to use Dapper's `QueryAsync`.
Updated `SqlDatabaseVectorSearch.csproj` to include Dapper package reference, version `2.1.35`.
Updated Program.cs to include dimensions parameter for AddAzureOpenAITextEmbeddingGeneration sourced from aiSettings.Embedding.Dimensions. Reformatted SQL command texts in VectorSearchService.cs for better readability. Introduced EmbeddingServiceSettings class in AzureOpenAISettings.cs to allow optional dimensions configuration. Updated appsettings.json to include new Dimensions property under Embedding section.
- Updated `Scripts.sql` to add a new `[Index]` column to `[dbo].[DocumentChunks]` for order tracking.
- Modified `DocumentChunk.cs` to include a new `Index` property, and introduced a new immutable record class for document chunks.
- Introduced new API endpoints in `Program.cs` for document and chunk retrieval, including embedding details, with OpenAPI documentation enhancements.
- Updated an API endpoint description in `Program.cs` to clarify document embedding handling.
- Updated `VectorSearchService.cs` to reflect schema changes in service logic, adding methods for fetching document chunks and specific embeddings.
Refactored code to centralize configuration access through a single `AppSettings` instance in `ChatService` and `VectorSearchService`, improving maintainability and reducing verbosity. Introduced new configuration settings (`MaxTokensPerLine`, `MaxTokensPerParagraph`, `OverlapTokens`, `MaxChunksCount`) in `AppSettings.cs` and `appsettings.json` for enhanced flexibility in content processing. Adjusted existing settings usage (`MessageLimit`, `MessageExpiration`) to align with the new access method, and removed obsolete settings (`StoragePath`, `VectorDbPath`, `QueuePath`). These changes simplify the codebase, make the application more configurable and adaptable to different content characteristics, and allow for more controlled vector search operations.
- Converted `Question.cs` and `Search.cs` records to `record class` syntax for clarity.
- Organized API endpoints with tags and added new GET and DELETE endpoints in `Program.cs`, including OpenAPI documentation improvements.
- Removed commented-out code in `Program.cs` for cleaner codebase.
- Introduced `WithTags` for better API operation categorization in Swagger UI.
- Added a TODO comment in `ChatService.cs` for future improvement on chunk length check.
- Clarified `using` directives in `VectorSearchService.cs` with namespace aliasing to improve readability.
- Refactored document deletion in `VectorSearchService.cs` to use a private helper method and expanded service capabilities with a new `GetDocumentsAsync` method.
- Introduced a new `Document` model in the `Models` namespace to support document fetching functionality.
- Simplified `appsettings.json` by removing `MaxTokens` configuration for `ChatCompletion` and `Embedding` services.
- Modified `ApplicationDbContext.cs` to correct the `.IsVector()` method placement for `DocumentChunk`.
- Removed `MemoryResponse.cs` class, indicating a move away from this model.
- Enhanced `Program.cs` with Azure AI services integration for text embeddings and chat completions. Updated OpenAPI descriptions and reintroduced `/api/ask` with vector search.
- Adjusted `ChatService.cs` to improve question-asking functionality using document chunks.
- Updated `VectorSearchService.cs` with a new `AskQuestionAsync` method for advanced search and response capabilities. Made `GetContentAsync` static.
- Formatted `SqlDatabaseVectorSearch.csproj` and managed NuGet package inclusions.
- Simplified `appsettings.json` by removing unused keys.
- Added a new `Response` record class for standardized service responses.
Marco Minerva