RAGFlow
Open-source RAG engine with deep document understanding.
- AI & LLM Tools
- Go
- Apache-2.0
- Docker
- Actively maintained
GitHub stats
- GitHub stars
- 91,708
- Forks
- 10,893
- Open issues
- 1,195
- Commits, last 12 months
- 5,821
- Last commit
- Oct 5, 2026
- Latest release
- v1.0.0-rc1Sep 29, 2026
- Created
- Dec 12, 2023
Data from the GitHub API, refreshed daily.
About RAGFlow
Open-source RAG engine with deep document understanding. RAGFlow is open source under the Apache-2.0 license and written mainly in Go, so you can read the code, run it on your own hardware and keep full control of your data.
The project has 91,708 stars and 10,893 forks on GitHub, with 5,821 commits over the last year. It ships a Docker image, which makes it a good fit for a small VPS or a home server running Docker Compose.
Topics
- ai
- ai-agents
- context-engine
- rag
- retrieval-augmented-generation
- agentic-ai
- agentic-retrieval
- agentic-search
- context-management
- knowledge-compilation
Repository preview
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What is RAGFlow?
RAGFlow is a free, open-source app you can host on your own server, listed in our AI & LLM Tools category. Open-source RAG engine with deep document understanding. The source code lives at github.com/infiniflow/ragflow, where it has 91,708 stars.
Is RAGFlow free and open source?
Yes. RAGFlow is open-source software released under the Apache-2.0 license, so you can self-host it at no cost. You only pay for the server it runs on, and some projects also offer an optional paid cloud plan.
Can I run RAGFlow with Docker?
Yes. RAGFlow provides a Docker image, so you can run it on any Linux server with Docker and Docker Compose installed. The project README lists the image name and the environment variables to set.
What are the best alternatives to RAGFlow?
Popular open-source alternatives to RAGFlow include Ollama, Stable Diffusion WebUI and Langflow.
Is RAGFlow actively maintained?
The most recent commit to RAGFlow was on Oct 5, 2026 with 5,821 commits in the past twelve months. The latest release is v1.0.0-rc1, published Sep 29, 2026. Check the open issues on GitHub to gauge how quickly maintainers respond.