IBL News | New York
Microsoft Research announced this month that it open-sourced GraphRAG, a valuable Python library that extracts insights from text.
It uses LLMs to automate the extraction of knowledge graphs from datasets and text documents.
“GraphRAG is a structured, hierarchical approach to Retrieval Augmented Generation (RAG), as opposed to naive semantic-search approaches using plain text snippets,” explained the company in a blog post.
Retrieval-augmented generation (RAG) is a technique to improve LLM outputs using real-world information.
RAG searches for information based on a user query on private datasets, data that the LLM is not trained on and has never seen before, such as an enterprise’s proprietary research, business documents, or communications.
Microsoft just open-sourced GraphRAG.
It might be the best Python library to extract insights from text. Much more powerful than vanilla RAG.
It uses LLMs to automate the extraction of knowledge graphs from your datasets and text documents.
!pip install graphrag pic.twitter.com/BhVrPkhZCs
— Lior⚡ (@AlphaSignalAI) July 9, 2024
