liunian-Jay/Awesome-RAG
💡 Awesome RAG: A resource of Retrieval-Augmented Generation (RAG) for LLMs, focusing on the development of technology.
Curated repository tracking peer-reviewed RAG research across top-tier conferences (NeurIPS, ACL, ICML, ICLR) and recent arxiv papers, organized by publication date and venue. Includes comprehensive evaluation datasets (HotpotQA, TriviaQA, ASQA, etc.) for benchmarking retrieval and generation systems. Actively maintains associated frameworks and tools like LightRAG, AgenticRAG-RL, and QAgent, with community contributions encouraged for staying current with rapidly evolving RAG methodologies.
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Feb 13, 2026
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