head to head · open source

LightRAG vs R2R

LightRAG has 39,770 GitHub stars, 5,599 forks, 222 open issues and last shipped today. R2R has 8,002 stars, 649 forks, 126 open issues and last shipped 11 months ago. LightRAG leads on adoption by 397% (39,770 vs 8,002 stars). LightRAG is written in Python under MIT; R2R is written in Python under MIT. LightRAG has attracted 14% as many forks as stars, R2R 8%. LightRAG was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (large-language-models, rag, retrieval-augmented-generation), 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.

LightRAG ★ 40K R2R ★ 8.0K category AI & Machine Learning

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Side by side

LightRAG R2R
GitHub stars ★ 40K ★ 8.0K
License MIT MIT
Written in Python Python
Last push 2026-09-20 2025-11-07
Forks ⑂ 5.6K ⑂ 649
Self-hosting Yes Yes
Data ownership Your server Your server

pick LightRAG 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 LightRAG profile →

pick R2R if

  • You want the R2R feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and R2R fits your workflow better

full R2R profile →

About LightRAG

LightRAG is a Python retrieval augmented generation framework, released under the MIT licence and presented in an EMNLP 2025 paper, that builds a knowledge graph over documents so that queries can be answered from both graph structure and vector similarity.

read the full LightRAG overview →

About R2R

R2R is an MIT licensed, Python based retrieval system from SciPhi AI that gives developers a RESTful API for agentic Retrieval Augmented Generation over their own documents, with official Python and JavaScript clients.

read the full R2R overview →

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Frequently asked questions

Is LightRAG or R2R more popular?

LightRAG has 39,770 GitHub stars and R2R has 8,002. LightRAG has the larger community by that measure.

Are LightRAG and R2R free?

Both are open source. LightRAG is licensed under MIT and R2R under MIT. Neither carries a licence fee.

What is the difference between LightRAG and R2R?

LightRAG is written in Python and R2R 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, LightRAG or R2R?

Choose LightRAG if you want the larger community (39,770 stars) or its MIT licence terms. Choose R2R if its feature set, stack or MIT licence fits better. Both are self-hostable.