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.
- Retrieval-Augmented Generation_Paper - The Original Paper on RAG published by Meta in 2020.