Understanding RAG: 6 Steps of Retrieval Augmented Generation (RAG)
What Is Retrieval Augmented Generation? Retrieval-augmented generation (RAG) is a technique that connects a large language model to external data at the moment it generates a response, instead of relying only on what the model learned during training. The term traces to a 2020 paper, “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks,” from a team at […]
