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.
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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 91k stars on GitHub. It was last updated in September 2026.
pipx install uvragflow vs. the alternatives
All 20 alternatives →| Record | Stars | Pricing | ||
|---|---|---|---|---|
| ragflowthis listing | 91k | Go | Apache-2.0 | Open source |
| Hermes Agent | 250k | Python | MIT | Open source |
| AutoGPT | 188k | Python | — | Open source |
| deer-flow | 83k | Python | MIT | Open source |
| anything-llm | 67k | JavaScript | MIT | Open source |
| goose | 55k | Rust | Apache-2.0 | Open source |
