All Repos
AI AgentsGoApache-2.0

ragflow

infiniflow/ragflow · Updated

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

infiniflow/ragflow is a Go repository in the AI Agents category with 93,077 stars and 11,153 forks on GitHub, released under the Apache-2.0 license, last updated today.

#agent-harness#agentic-ai#agentic-nagive#agentic-retrieval#agentic-search#ai#ai-agents#context-engine
View on GitHub 93kGitHub stars

How to install ragflow in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install ragflow in Claude CodeAnthropic's agentic CLI

  1. Clone & open

    bash
    git clone https://github.com/infiniflow/ragflow.git
cd ragflow
claude

  2. Let Claude read it

    Ask “/init” to generate a CLAUDE.md, then have Claude explain, run, or extend the codebase. It reads files on demand.

Documentation

Full README

Cloud | Documentation | Roadmap | Discord

<details open> <summary><b>📕 Table of Contents</b></summary>

  • 💡 What is RAGFlow?
  • 🎮 Get Started
  • 🔥 Latest Updates
  • 🌟 Key Features
  • 🔎 System Architecture
  • 🏠 Local Deployment
  • 📚 Documentation
  • 📜 Roadmap
  • 🏄 Community
  • 🙌 Contributing

</details>

💡 What is 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.

🎮 Get Started

Try our cloud service at https://cloud.ragflow.io.

For local deployment, see Local Deployment.

🔥 Latest Updates

  • 2026-09-29 RAGFlow 1.0.0-rc1 released.
  • 2026-09-10 Added website content ingestion through sitemaps.
  • 2026-08-19 Introduced Knowledge Compilation to generate Wikis, Graphs, Trees, PageIndex, Mind Maps, Timelines, and Skills at the document and dataset levels.
  • 2026-08-19 Introduced Agentic RAG with Low, Medium, High, and Ultra thinking modes.
  • 2026-07-02 Added Google BigQuery data source ingestion and incremental synchronization.

See the full release notes for more updates.

🎉 Stay Tuned

⭐️ Star our repository to stay up-to-date with exciting new features and improvements! Get instant notifications for new releases! 🌟

Excerpt — the full document is on GitHub.

More AI Agents repositories

Catalog data refreshed . Something wrong? Report it.