Data & Research · GitHub ·77,897 ★

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

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Details

Author
infiniflow
Category
Data & Research
Platform
GitHub
Framework
openai
Language
python
Stars
77,897
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15
@infiniflow@infiniflowaiDiscord

Overview

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

Quick start

git

git clone https://github.com/infiniflow/ragflow

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What ragflow can do

llmragresearchhr
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Research — Searches sources and synthesises evidence-based answers.
  • Hr — Handles people operations such as hiring and policy Q&A.

Frequently asked questions

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
How do I install ragflow?
Use git: `git clone https://github.com/infiniflow/ragflow`. Full setup details on the source page linked above.
Is ragflow open source?
ragflow is published on GitHub.
What are alternatives to ragflow?
Comparable agents include autoresearch, OpenBB, MinerU. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for ragflow is sourced from GitHub, published by infiniflow.

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