infiniflow/ragflow
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
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
Best for
- Evaluating ragflow for Python AI workflows.
- Comparing a GitHub project with 80,832 stars and current repository activity.
Pros
- ragflow has visible GitHub traction with 80,832 stars. Topics: agentic-ai, agentic-retrieval, agentic-search.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the Apache-2.0 terms fit your use case.
Production readiness
ragflow should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
Apache-2.0 is reported by GitHub; review the repository license before redistribution or commercial use.
Install
git clone https://github.com/infiniflow/ragflow.git