From 261caffb6dae8e96ece5d18af72b26a1da579a5a Mon Sep 17 00:00:00 2001 From: Marco Minerva Date: Mon, 10 Mar 2025 16:50:07 +0100 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8cd275c..5ef466e 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ A repository that showcases the native VECTOR type in Azure SQL Database to perf The application allows 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). -This repository contains a Blazor Web App as well as a Minimal API that allows to programatically interact with embeddings and RAG. +This repository contains a Blazor Web App as well as a Minimal API that allows to programmatically interact with embeddings and RAG. ### Web App ![SQL Database Vector Search Web App](https://github.com/marcominerva/SqlDatabaseVectorSearch/blob/master/assets/SqlDatabaseVectorSearch_WebApp.png)