Awesome-RAG and RAG-Reading-List
About Awesome-RAG
Danielskry/Awesome-RAG
😎 Awesome list of Retrieval-Augmented Generation (RAG) applications in Generative AI.
This resource map helps AI developers and researchers discover and understand Retrieval-Augmented Generation (RAG) applications. It takes in various tools, frameworks, and techniques for RAG, and provides structured links and explanations to guide the building of sophisticated AI systems. Anyone looking to enhance Large Language Models with external, up-to-date knowledge will find this useful.
About RAG-Reading-List
RUC-NLPIR/RAG-Reading-List
RAG methods, benchmarks, and toolkits
This reading list helps AI practitioners and researchers stay current with the rapidly evolving field of Retrieval-Augmented Generation (RAG). It provides a curated collection of recent academic papers and toolkits, categorized by method, benchmarks, and analysis for both text-only and multimodal applications. The list helps you understand the latest advancements, identify effective techniques, and discover resources to implement RAG in your projects.
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