How Retrieval-Augmented Generation (RAG) Works (opens in new tab)

Retrieval-augmented generation, or RAG, is a method for grounding a language model's response in external data that it didn't have access to during training. Instead of relying only on what the model learned, you give it a fresh set of facts pulled from a knowledge base right before it generates an answer. The technique has […]