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@@ -3,6 +3,9 @@ A repository that showcases the native VECTOR type in Azure SQL Database to perf
The application is a Minimal API that exposes endpoints to load documents, generate embeddings and save them into the database as Vectors, and perform searches using Vector Search and RAG. Currently, PDF, DOCX, TXT and MD files are supported. Vectors are saved and retrieved with Entity Framework Core using the [EFCore.SqlServer.VectorSearch](https://github.com/efcore/EfCore.SqlServer.VectorSearch) library. Embedding and Chat Completion are integrated with [Semantic Kernel](https://github.com/microsoft/semantic-kernel). The application is a Minimal API that exposes endpoints to load documents, generate embeddings and save them into the database as Vectors, and perform searches using Vector Search and RAG. Currently, PDF, DOCX, TXT and MD files are supported. Vectors are saved and retrieved with Entity Framework Core using the [EFCore.SqlServer.VectorSearch](https://github.com/efcore/EfCore.SqlServer.VectorSearch) library. Embedding and Chat Completion are integrated with [Semantic Kernel](https://github.com/microsoft/semantic-kernel).
> [!NOTE]
> If you prefer to use straight SQL, check out the [sql branch](https://github.com/marcominerva/SqlDatabaseVectorSearch/tree/sql).
![SQL Database Vector Search](https://raw.githubusercontent.com/marcominerva/SqlDatabaseVectorSearch/refs/heads/master/SqlDatabaseVectorSearch.png) ![SQL Database Vector Search](https://raw.githubusercontent.com/marcominerva/SqlDatabaseVectorSearch/refs/heads/master/SqlDatabaseVectorSearch.png)
## Setup ## Setup