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ragflow

https://github.com/infiniflow/ragflow

📊 Stats

⭐ Stars: 76,414

📝 Language: Python

📝 Description: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capa

⭐ Star Growth (12 months)

🔬 Research Notes

Stats

  • ⭐ Stars: 76414

  • 🍴 Forks: 8557

  • 📝 Language: Python

  • 📅 Created: 2023-12-12

  • 🔄 Updated: 2026-03-27

  • 🏷️ Latest Release: v0.24.0

    • Description

    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

    Topics

    agent, agentic, agentic-ai, agentic-workflow, ai, ai-search, context-engineering, context-retrieval, deep-research, deepseek, deepseek-r1, document-parser, document-understanding, graphrag, llm, mcp, ollama, openai, rag, retrieval-augmented-generation

    Research Summary

    Key Features

  • Architecture

  • Use Cases

  • Assessment

  • Maturity:

  • Documentation:

  • Community:

  • Recommendation:

    • README Excerpt

    ```

    README in English

    简体中文版自述文件

    繁體版中文自述文件

    日本語のREADME

    한국어

    Bahasa Indonesia

    Português(Brasil)

    README en Français

    README in Arabic

    Türkçe README

    follow on X(Twitter)

    Static Badge

    docker pull infiniflow/ragflow:v0.24.0

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    infiniflow%2Fragflow | Trendshift

    📕 Table of Contents

  • 💡 [What is RAGFlow?](#-what-is-ragflow)

  • 🎮 [Demo](#-demo)

  • 📌 [Latest Updates](#-latest-updates)

  • 🌟 [Key Features](#-key-features)

  • 🔎 [System Architecture](#-system-architecture)

  • 🎬 [Get Started](#-get-started)

  • 🔧 [Configurations](#-configurations)

  • 🔧 [Build a Docker image](#-build-a-docker-image)

  • 🔨 [Launch service from source for development](#-launch-service-from-source-for-development)

  • 📚 [Documentation](#-documentation)

  • 📜 [Roadmap](#-roadmap)

  • 🏄 [Community](#-community)

  • 🙌 [Contributing](#-contributing)

    • 💡 What is RAGFlow?

    [RAGFlow](https://ragflow.io/) is a leading open-source Retrieval-Augmented Generation ([RAG](https://ragflow.io/basics/what-is-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](https://ragflow.io/basics/what-is-agent-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.

    🎮 Demo

    Try our demo at [https://cloud.ragflow.io](https://cloud.ragflow.io).

    🔥 Latest Updates

  • 2025-12-26 Supports 'Memory' for AI agent.

  • 2025-11-19 Supports Gemini 3 Pro.

  • 2025-11-12 Supports data synchronization from Confluence, S3, Notion, Discord, Google Drive.

  • 2025-10-23 Supports MinerU & Docling as document parsing methods.

  • 2025-10-15 Supports orchestrable ingestion pipeline.

  • 2025-08-08 Supports OpenAI's latest GPT-5 series models.

  • 2025-08-01 Supports agentic workflow and MCP.

  • 2025-05-23 Adds a Python/JavaScript code executor component to Agent.

  • 2025-05-05 Supports cross-language query.

  • 2025-03-19 Supports using a multi-modal model to make sense of images within PDF or DOCX files.

    • ```

    ---

    *Researched: 2026-03-28*

    Generated: 2026-03-28