head to head · open source

PageIndex vs graphrag

PageIndex has 39,958 GitHub stars, 3,438 forks, 103 open issues and last shipped yesterday. graphrag has 36,531 stars, 3,867 forks, 47 open issues and last shipped yesterday. PageIndex leads on adoption by 9% (39,958 vs 36,531 stars). PageIndex is written in Python under MIT; graphrag is written in Python under MIT. PageIndex has attracted 9% as many forks as stars, graphrag 11%. PageIndex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (llm, rag), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

PageIndex ★ 40K graphrag ★ 37K category AI & Machine Learning

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Side by side

PageIndex graphrag
GitHub stars ★ 40K ★ 37K
License MIT MIT
Written in Python Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 3.4K ⑂ 3.9K
Self-hosting Yes Yes
Data ownership Your server Your server

pick PageIndex if

  • You weight community size — 40K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full PageIndex profile →

pick graphrag if

  • You want the graphrag feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and graphrag fits your workflow better

full graphrag profile →

About PageIndex

PageIndex: Vectorless, Reasoning based RAG Reasoning based RAG ◦ No Vector DB, No Chunking ◦ Context Aware Retrieval ◦ Reads Like a Human 🌐 Website • ☁️ Cloud • 📖 Docs • 📝 Blog • ✉️ Contact Updates [Aug '26] 🔥 PageIndex SDK : pip install U pageindex now ships local mode : index, retrieve, and chat entirely on your machine with your own LLM key, or point the same client at PageIndex Cloud with an API key. [Aug '26] ⚡ PageIndex Flash : fast tree index generation for text based PDFs, now the default indexing method in PageIndex SDK local mode. Scale PageIndex to Millions of Documents: PageIndex File System is a…

read the full PageIndex overview →

About graphrag

GraphRAG [!WARNING] GraphRAG is a research project that explores the functional use of graphs to form a targeted context for question answering. Since our first release in July 2024 the capabilities of frontier models have changed dramatically, and our portfolio of research projects has diversified to match. This project is largely in maintenance mode, and won't be accepting new PRs or implementing new features. We'll perform bug fixes and dependency updates as appropriate, particularly to address CVEs as they arise. 👉 Microsoft Research Blog Post 👉 Read the docs 👉 GraphRAG Arxiv Overview The GraphRAG project…

read the full graphrag overview →

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Frequently asked questions

Is PageIndex or graphrag more popular?

PageIndex has 39,958 GitHub stars and graphrag has 36,531. PageIndex has the larger community by that measure.

Are PageIndex and graphrag free?

Both are open source. PageIndex is licensed under MIT and graphrag under MIT. Neither carries a licence fee.

What is the difference between PageIndex and graphrag?

PageIndex is written in Python and graphrag in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, PageIndex or graphrag?

Choose PageIndex if you want the larger community (39,958 stars) or its MIT licence terms. Choose graphrag if its feature set, stack or MIT licence fits better. Both are self-hostable.