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
Production RAG over complex documents with agent capabilities, self-hosted.
You need a lightweight embedded library rather than a full platform.
About 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 and pre-built agent templates, RAGFlow enables developers to transform complex data into high-fidelity, production-ready AI systems with exceptional efficiency and precision.
Star our repository to stay up-to-date with exciting new features and improvements! Get instant notifications for new releases!
To update the default HTTP serving port (80), go to docker-compose.yml and change 80:80 to :80.
ragflow is an open-source project written primarily in Go, with 89k stars on GitHub. It was last updated in August 2026.
pipx install uvragflow vs. the alternatives
All 20 alternatives →| Record | Stars | Pricing | ||
|---|---|---|---|---|
| ragflowthis listing | 89k | Go | Apache-2.0 | Open source |
| AutoGPT | 187k | Python | — | Open source |
| browser-use | 109k | Python | MIT | Open source |
| deer-flow | 80k | Python | MIT | Open source |
| anything-llm | 65k | JavaScript | MIT | Open source |
| goose | 53k | Rust | Apache-2.0 | Open source |
