RAG: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Abstract

This paper introduces and evaluates the idea described in “RAG: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks”, and reports empirical results that helped shape subsequent work in rag, retrieval.