Get modular graph-based Retrieval-Augmented Generation with graphrag, ideal for founders working with GPT and LLMs, backed by 33k+ GitHub stars
33,467 stars3,541 forksPythonQuality 8/10Updated 6/5/2026100% free ยท open source
What it does
Transforms complex, unstructured data into clear insights by creating intelligent knowledge graphs that help you extract meaningful strategic information.
When to use it
โขAnalyzing large volumes of text documents for research and competitive intelligence
โขBreaking down complex industry reports or market research into digestible insights
โขCreating comprehensive knowledge bases from scattered information sources
Quick start
1Install via pip: pip install graphrag
2Prepare your input data documents in a clean text or CSV format
3Configure graph settings and embedding model in config file
4Run initial graph generation and query your knowledge base