Retrieval-augmented generation, also referred to as RAG, is an information retrieval technique that utilizes generative AI models in order to produce more accurate, relevant output. RAG systems retrieve relevant information – from a knowledge base, and use that to inform the output generation process. This can make the output more up to date, specific, and in depth.
