Retrieval-Augmented Generation (RAG)

An AI technique that improves accuracy by retrieving specific, trusted source content such as documents, tables, or pages and using that information directly when extracting or generating results. This approach reduces errors, prevents data mixing, and ensures outputs remain grounded in the original source material.