From 6790850afed7c6faecd46244e9fcef9692c35995 Mon Sep 17 00:00:00 2001 From: Marco Minerva Date: Fri, 14 Jun 2024 17:56:07 +0200 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 15c7a90..0f815dd 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ A repository that showcases the Vector Support in Azure SQL Database to perform > [!IMPORTANT] > Usage of this application requires the Vector Support feature in Azure SQL Database, currently in EAP. [See this blog post](https://devblogs.microsoft.com/azure-sql/announcing-eap-native-vector-support-in-azure-sql-database/) for more details. -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, only PDF files are supported. Database access is done using the [EFCore.SqlServer.VectorSearch](https://github.com/efcore/EfCore.SqlServer.VectorSearch) library. +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, only PDF files are supported. Vectors are used 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). ![SqlServerVectorSearch](https://github.com/marcominerva/SqlDatabaseVectorSearch/blob/master/SqlServerVectorSearch.png)