RAG stands for Retrieval-Augmented Generation and combines a generative model with a retrieval system to enhance or augment (as the name suggests) AI responses with more accurate and current data. So this means there are two portions to it: the generative model, which generates human-like text, and the retrieval system, which supplements the generative model’s output. As with any emerging technology, before implementing it within your organization, it’s wise to understand it, as well as its potential benefits, and truly consider why you should – or should not – use it.