head to head · open source
ragflow vs graphrag
ragflow has 93,365 GitHub stars, 11,207 forks, 1,525 open issues and last shipped yesterday. graphrag has 36,531 stars, 3,867 forks, 47 open issues and last shipped yesterday. ragflow leads on adoption by 156% (93,365 vs 36,531 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.
← all 20902 open source comparisons
Side by side
| ragflow | graphrag | |
|---|---|---|
| GitHub stars | ★ 93K | ★ 37K |
| License | Apache-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 11K | ⑂ 3.9K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ragflow if
- You weight community size — 93K 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
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
About ragflow
Cloud Documentation Roadmap Discord 📕 Table of Contents 💡 What is RAGFlow? 🎮 Get Started 🔥 Latest Updates 🌟 Key Features 🔎 System Architecture 🎬 Self Hosting 🔧 Configurations 🔧 Build a Docker Image 🔨 Launch Service from Source for Development 📚 Documentation 📜 Roadmap 🏄 Community 🙌 Contributing 💡 What is RAGFlow? RAGFlow is a leading open source Retrieval Augmented Generation (RAG) engine that fuses cutting edge RAG with Agent capabilities to create a superior context layer for LLMs. It offers a streamlined RAG workflow adaptable to enterprises of any scale. Powered by a converged context engine…
read the full ragflow 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 →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is ragflow or graphrag more popular?
ragflow has 93,365 GitHub stars and graphrag has 36,531. 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 (93,365 stars) or its Apache-2.0 licence terms. Choose graphrag if its feature set, stack or MIT licence fits better. Both are self-hostable.