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infiniflow/ragflow

RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.

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What it does

RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.

Summary based on the GitHub description (opens in a new tab)

What the README covers

  • 💡 What is RAGFlow?
  • 🎮 Get Started
  • 🔥 Latest Updates
  • 🎉 Stay Tuned
  • 🌟 Key Features
  • 🍭 "Quality in, quality out"
  • 🍱 Template-based chunking
  • 🧩 Knowledge Compilation
  • 🧠 Agentic Retrieval
  • 🌱 Grounded citations with reduced hallucinations
  • 🍔 Compatibility with heterogeneous data sources
  • 🛀 Automated and effortless RAG workflow

Getting started

Excerpt from the README · Checked 15 Oct 2026

Open the README and explore its “💡 What is RAGFlow?” section. Follow its linked resources for the project-specific workflow.

Shown exactly as published. Top 200 Repos has not run or tested it. View in README (opens in a new tab)

Ranking trend

Global rank in each recorded snapshot. A lower number is a higher rank.

Global Rank · 2 Observed Snapshots · Lower Is Better · Gaps Indicate Missing Ranks

From #160 to #165 across 2 snapshots since 15 Oct 2026.

What people build with it

Reported by source

Build a cited Q&A knowledge base over your own documents

Self-host RAGFlow, upload PDFs, Office files and scans, and ask questions that come back with traceable source chunks.

github.cominfiniflow/ragflow

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