Technical definition
Retrieval-augmented generation (RAG)
An AI pattern that supplies retrieved external information to a generative model at request time.
What It Means
RAG retrieves relevant passages or records and places them in the model context before generation. Its quality depends on ingestion, chunking, retrieval, ranking, context construction, and answer evaluation.