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 la
Our verdict
A solid, actively developed project. This assessment is derived from GitHub's own repository metrics on 2026-08-24, not from hands-on testing.
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. The project is written primarily in Go, released under Apache-2.0, and has 89,162 stars and 10,482 forks on GitHub. 756 contributors have committed to it, and the most recent push was 2026-08-24. The latest tagged release is nightly (2025-12-01). Figures come from the GitHub API on 2026-08-24 and are refreshed daily; the score below weighs adoption, maintenance, release discipline, contributor breadth, licence clarity and issue hygiene.
Repository
- Licence
- Apache-2.0
- Language
- Go
- Last push
- 2026-08-24
Releases
-
nightlynightly -
v0.27.0v0.27.0 -
v0.26.4v0.26.4 -
v0.26.3v0.26.3 -
v0.26.2v0.26.2 -
v0.26.1v0.26.1
Pros and cons
Pros
Cons
User reviews
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Side by side
| Tool | Our score | From | Free tier | Best for | |
|---|---|---|---|---|---|
| RAGFlow this page | 8.1 | — | Yes | ||
| LangChain | 9.9 | $1 | Yes | ||
| ECC | 9.4 | — | Yes | ||
| Browser Use | 9.3 | — | Yes | ||
| Gemini CLI | 9.2 | — | Yes | ||
| Claude Mem | 9.1 | — | Yes | ||
| Firecrawl | 9.1 | $16 | Yes | Developers building RAG pipelines and research agents | Visit |
