From a0c777c138c306a054894ff84588defcfbc653a3 Mon Sep 17 00:00:00 2001 From: Marco Minerva Date: Mon, 17 Feb 2025 12:45:41 +0100 Subject: [PATCH] Update README.md --- README.md | 3 --- 1 file changed, 3 deletions(-) diff --git a/README.md b/README.md index 7faa62a..962f844 100644 --- a/README.md +++ b/README.md @@ -3,9 +3,6 @@ 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). -> [!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) ## Setup