# Retrieval-Augmented Generation
> Retrieval-Augmented Generation (RAG) combines a retriever model to fetch relevant documents from a corpus and a generator model to produce responses based on both the retrieved documents and the original input, enhancing the generation with external knowledge.

## Useful Resource
- [Retrieval-Augmented Generation_Paper](https://arxiv.org/abs/2005.11401v4) - The Original Paper on RAG published by Meta in 2020.
- [Retrieval-Augmented Geneartion Survey](https://arxiv.org/pdf/2312.10997.pdf) - A Comprehensive and High-quality Survey Conducted by Tongji University and Fudan University on RAG in 2023.
