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ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create…

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Best for

Production RAG over complex documents with agent capabilities, self-hosted.

Avoid if

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.

From the project's README

ragflow is an open-source project written primarily in Go, with 84k stars on GitHub. It was last updated in July 2026.

Install

pipx install uv
Signal inventory open — put your agent in front of people choosing oneReserve a signal slot →

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