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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
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Specification and documentation for Agent Skills
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🏔️国立台湾大学、新加坡国立大学、早稻田大学、东京大学，中央研究院（台湾）以及中国重点高校及科研机构，社科、经济、数学、博弈论、哲学、系统工程类学术论文等知识库。