AI Engine / RAG Framework
77.9k 2026-04-13
infiniflow/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.
Core Features
Fuses cutting-edge RAG with Agent capabilities
Creates a superior context layer for LLMs
Offers a streamlined RAG workflow adaptable to enterprises
Powered by a converged context engine and pre-built agent templates
Enables transformation of complex data into high-fidelity AI systems
Detailed Introduction
RAGFlow is an advanced open-source Retrieval-Augmented Generation (RAG) engine designed to enhance Large Language Models (LLMs) by providing a superior context layer. It uniquely integrates cutting-edge RAG techniques with Agent capabilities, offering a streamlined workflow suitable for enterprises of all sizes. By leveraging a converged context engine and pre-built agent templates, RAGFlow empowers developers to efficiently build high-fidelity, production-ready AI systems from complex data, significantly improving the precision and relevance of LLM outputs.