Retrieval augmented generation (RAG)

Searching a document set for relevant passages and handing them to the model with the question, so the answer comes from your documents rather than training data. “What does our binder with this carrier say about vacant property?” With RAG the system finds the clause and answers from it. Without it, the model invents a reasonable sounding clause.