Ragflow
Build a superior context layer for AI agents - Empower your AI agents through the leading open-source RAG engine, delive
Last Updated
2026-06-15
GitHub Stars
82,838
About Ragflow
Our Verdict
A research agent that is open-source and self-hostable backed by 82.8k GitHub stars. Build a superior context layer for AI agents - Empower your AI agents through the leading open-source RAG engine, delivering reliable context and an integrated agent platform, built for enterprise..
Features
Detailed Ratings
Pros & Cons
Pros
- Open-source — fully self-hostable and auditable
- Active community with 82.8k GitHub stars
- Designed for research agent
Cons
- Requires technical setup; less hand-holding than managed alternatives
- Limited third-party reviews and benchmarks
Use Cases
Who Is It For?
Teams and individuals looking for research and information synthesis who value open-source flexibility and control.
Frequently Asked Questions
What is Ragflow?
[RAGFlow](https://ragflow.io/) is a leading open-source Retrieval-Augmented Generation ([RAG](https://ragflow.io/basics/what-is-rag)) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs. It offers a streamlined RAG workflow…
How much does Ragflow cost?
Ragflow is open-source and free to self-host. See https://github.com/infiniflow/ragflow for installation instructions.
Is Ragflow open source?
Yes — Ragflow is open source with 82.8k stars. The source code is on GitHub at https://github.com/infiniflow/ragflow.
Who should use Ragflow?
Teams and individuals looking for research and information synthesis who value open-source flexibility and control.
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