head to head · open source

LightRAG vs ruoyi-ai

LightRAG has 39,770 GitHub stars, 5,599 forks, 222 open issues and last shipped today. ruoyi-ai has 5,710 stars, 1,407 forks, 7 open issues and last shipped 9 days ago. LightRAG leads on adoption by 596% (39,770 vs 5,710 stars). LightRAG is written in Python under MIT; ruoyi-ai is written in Java under MIT. LightRAG has attracted 14% as many forks as stars, ruoyi-ai 25%. LightRAG was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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.

LightRAG ★ 40K ruoyi-ai ★ 5.7K category AI & Machine Learning

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Side by side

LightRAG ruoyi-ai
GitHub stars ★ 40K ★ 5.7K
License MIT MIT
Written in Python Java
Last push 2026-09-20 2026-09-11
Forks ⑂ 5.6K ⑂ 1.4K
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 ruoyi-ai if

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

full ruoyi-ai 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 ruoyi-ai

RuoYi AI is an MIT licensed, Java based enterprise AI development framework for building AI agents, aimed at developers and platform teams that need multi provider LLM management, private knowledge bases, visual workflow orchestration and multi agent coordination in a single self hostable stack.

read the full ruoyi-ai overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

LightRAG vs Dify LightRAG vs langchain LightRAG vs ponytail LightRAG vs generative-ai-for-beginners LightRAG vs graphify LightRAG vs claude-mem LightRAG vs ragflow LightRAG vs PaddleOCR LightRAG vs Agent-Reach LightRAG vs headroom LightRAG vs Mem0 LightRAG vs daily_stock_analysis

Frequently asked questions

Is LightRAG or ruoyi-ai more popular?

LightRAG has 39,770 GitHub stars and ruoyi-ai has 5,710. LightRAG has the larger community by that measure.

Are LightRAG and ruoyi-ai free?

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

What is the difference between LightRAG and ruoyi-ai?

LightRAG is written in Python and ruoyi-ai in Java. 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 ruoyi-ai?

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