RAG-Survey
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
Explore and read a collection of research papers about Retrieval-Augmented Generation in AI content creation.
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Free · no card · unsubscribe anytimeCollecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
RAG-Survey has 1.8k stars on GitHub. It has been forked 123 times. It has been in active development since 2024. Its main topics are aigc, diffusion-models, llm, multimodality.
What is RAG-Survey?
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
Is RAG-Survey open source?
RAG-Survey is an open-source project.
Is RAG-Survey free?
Yes. RAG-Survey is free and open source — you can use, modify and self-host it.
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