# GraphRAG

> Graph-based RAG from Microsoft

Builds a knowledge graph from text for better reasoning over private data.

- Source: https://github.com/microsoft/graphrag
- Homepage: https://microsoft.github.io/graphrag/
- License: MIT
- Language: Python
- Stars: 36202
- Forks: 3831
- Contributors: 4311
- Last commit: 2026-09-23
- Latest release: v3.2.0 (2026-09-24)
- Purpose: AI & LLM tooling, RAG & vector DBs
- Runs on: Library / SDK
- For: Enterprise

## Worth score: 83/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 23/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 14/15
- Readiness: 11/15

## Alternatives

- [LightRAG](https://diggithub.com/HKUDS/LightRAG.md): Simple and fast graph-based RAG
- [LangChain4j](https://diggithub.com/langchain4j/langchain4j.md): LLM apps on the JVM
- [Crawl4AI](https://diggithub.com/unclecode/crawl4ai.md): Web crawler that turns sites into LLM-ready Markdown
- [MarkItDown](https://diggithub.com/microsoft/markitdown.md): Convert Office files and PDFs to Markdown for LLMs
- [Docling](https://diggithub.com/docling-project/docling.md): Get your documents ready for generative AI
- [OpenViking](https://diggithub.com/volcengine/OpenViking.md): Context database for AI agents
- [Cognee](https://diggithub.com/topoteretes/cognee.md): Open-source memory platform for agents
- [Faiss](https://diggithub.com/facebookresearch/faiss.md): Efficient similarity search for vectors

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Source page: https://diggithub.com/microsoft/graphrag
Updated: 2026-10-04