RAG (retrieval-augmented generation)

A pattern where a model is supplied with relevant retrieved context at generation time, rather than relying solely on its training data. The dominant production pattern for enterprise generative AI.

This definition is maintained by Moweb partners and used in live client engagements. For how RAG applies to your estate, or to challenge a working definition, speak to a partner.