Optimizing GraphRAG Construction Quality through Microsoft’s Graph Database Solution on Azure PostgreSQL: Enhancing Chatbot QA from Documentation.

Microsoft has introduced the GraphRAG Solution Accelerator for PostgreSQL on Azure Database, allowing customers looking to develop RAG applications on Azure to leverage pre-built databases.

Typically, developing RAG (Retrieval Augmented Generation) applications involves utilizing relevant data to generate answers based on user queries. The GraphRAG solution suggests that interconnected data should be used together, even if it may not directly relate to the user query.

Microsoft demonstrated the use of GraphRAG by creating a database of 500,000 cases, each linked due to existing document references. Instead of solely relying on basic query processes, which may not yield satisfactory results from the top 10 documents, enhancements can be made by using a reranker to filter additional documents. GraphRAG is then utilized to consolidate frequently referenced cases into a reference dataset for the LLM to provide more relevant answers.

Sample code for implementing GraphRAG on Azure Database can be found on GitHub, with the use of graph data with Apache AGE on PostgreSQL still in the preview stage.

TLDR: Microsoft introduces GraphRAG Solution Accelerator for PostgreSQL on Azure Database, revolutionizing data retrieval and generation for RAG applications.