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- 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.
SQL Database Vector Search Sample
A repository that showcases the Vector Support in Azure SQL Database to perform embeddings and RAG
Description
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