The README.md file has been updated to specify that Vectors are saved and retrieved using the `EFCore.SqlServer.VectorSearch` library with Entity Framework Core. Additionally, the note about using straight SQL has been moved to a separate section and rephrased for better clarity.
Added information on using EFCore.SqlServer.VectorSearch for vector management with Entity Framework Core. Included a link to the `sql` branch for users preferring direct SQL usage.
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.
- Updated README.md with details on Vector Support in Azure SQL Database, application functionalities, and setup instructions.
- Removed inheritance of `Question` class from `Search` class and deleted `Search` class.
- Minor adjustment in Program.cs for endpoint description consistency.
- Simplified appsettings.Development.json by removing the empty "ConnectionStrings" section.
- Enhanced Script.sql with SQL commands to create `DocumentChunks` and `Documents` tables, including schema for identifiers, content, embeddings, document names, creation dates, and established a foreign key relationship between the two tables.