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
Why this repo matters
•Fuses RAG with agent capabilities to provide superior context management for large language model applications.
•High-performance Go implementation distinguishes it from typical Python-based retrieval augmented generation frameworks.
•Massive star count indicates strong community validation despite recent stagnation in weekly growth metrics.