hymie122/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".

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This project offers a curated collection of research papers focused on Retrieval-Augmented Generation (RAG) for AI-Generated Content (AIGC). It organizes these papers into a clear taxonomy covering foundations, enhancements, and applications, providing a comprehensive overview of the field. Anyone conducting research or developing AIGC solutions using RAG will find this useful for understanding current advancements.

1,789 stars. No commits in the last 6 months.

Use this if you are a researcher or practitioner needing to explore the latest academic work and different approaches within Retrieval-Augmented Generation for AI-Generated Content.

Not ideal if you are looking for a software tool or library to implement RAG, as this is a collection of papers, not code.

AI-Generated Content Natural Language Processing Deep Learning Research Information Retrieval Generative AI
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 17 / 25

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Aug 20, 2024

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