ragflow

by infiniflow · MCP 服务器 · ★ 87.1k

About ragflow

<img alt="Static Badge" src="https://img.shields.io/badge/Online

agentagenticagentic-aiagentic-workflowaicontext-engineeringcontext-retrievaldeep-researchdeepseekdeepseek-r1

Quick Facts

Stars87,089
Forks10,234
LanguagePython
CategoryMCP 服务器
LicenseApache-2.0
Quality Score63.2631773617152/100
Open Issues1889
Last Updated2026-08-08
Created2023-12-12
Platformsmcp, python
Est. Tokens~7653k

Compatible Skills

These tools work well together with ragflow for enhanced workflows:

  • PocketFlow — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • local-deep-research — semantic(0.22)+complementary+rare_topics+same_lang+shared_platform (52%)

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Frequently Asked Questions

What is ragflow?

ragflow is 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 is categorized as a MCP 服务器 with 87.1k GitHub stars.

What programming language is ragflow written in?

ragflow is primarily written in Python. It covers topics such as agent, agentic, agentic-ai.

How do I install or use ragflow?

You can find installation instructions and usage details in the ragflow GitHub repository at github.com/infiniflow/ragflow. The project has 87.1k stars and 10234 forks, indicating an active community.

What license does ragflow use?

ragflow is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

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