head to head · open source

ragflow vs graphrag

ragflow has 90,911 GitHub stars, 10,764 forks, 1,525 open issues and last shipped yesterday. graphrag has 36,022 stars, 3,795 forks, 47 open issues and last shipped 3 days ago. ragflow leads on adoption by 152% (90,911 vs 36,022 stars). ragflow is written in Go under Apache-2.0; graphrag is written in Python under MIT. ragflow has attracted 12% as many forks as stars, graphrag 11%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee.

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

ragflow ★ 91K graphrag ★ 36K category AI & Machine Learning

← all 13541 open source comparisons

Side by side

ragflow graphrag
GitHub stars ★ 91K ★ 36K
License Apache-2.0 MIT
Written in Go Python
Last push 2026-09-18 2026-09-16
Forks ⑂ 11K ⑂ 3.8K
Self-hosting Yes Yes
Data ownership Your server Your server

pick ragflow if

  • You weight community size — 91K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full ragflow 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 ragflow

RAGFlow is an open source Retrieval Augmented Generation engine that fuses RAG with agent capabilities into a context layer for large language models, built for developers and teams that need to turn complex, unstructured documents into production AI systems.

read the full ragflow overview →

About graphrag

GraphRAG is a modular, Python based, MIT licensed data pipeline and transformation suite from Microsoft Research that uses large language models to extract structured data from unstructured text, then exploits the resulting knowledge graph to form targeted context for question answering over private data.

read the full graphrag overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

Related comparisons

openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all llama-cpp vs vllm

More AI Development Platforms projects

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

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

Frequently asked questions

Is ragflow or graphrag more popular?

ragflow has 90,911 GitHub stars and graphrag has 36,022. ragflow has the larger community by that measure.

Are ragflow and graphrag free?

Both are open source. ragflow is licensed under Apache-2.0 and graphrag under MIT. Neither carries a licence fee.

What is the difference between ragflow and graphrag?

ragflow is written in Go 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, ragflow or graphrag?

Choose ragflow if you want the larger community (90,911 stars) or its Apache-2.0 licence terms. Choose graphrag if its feature set, stack or MIT licence fits better. Both are self-hostable.