HuggingAGI/AwesomeRAGPapers
A curated collection of influential surveys and papers on Retrieval-Augmented Generation (RAG), covering frameworks, evaluations, multi-modal extensions, and domain-specific applications.
This collection helps AI researchers and practitioners stay current with the rapidly evolving field of Retrieval-Augmented Generation (RAG). It provides a curated list of influential academic papers, including comprehensive surveys and key architectural innovations. The resource takes in a broad spectrum of RAG research and outputs a streamlined understanding of its foundational principles, advanced techniques, and diverse applications.
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Use this if you are an AI researcher, a machine learning engineer, or a data scientist looking to understand or implement the latest advancements in Retrieval-Augmented Generation (RAG) for building more intelligent AI systems.
Not ideal if you are looking for ready-to-use RAG applications or a beginner's introduction to large language models.
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Feb 03, 2025
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