A county mosquito-spray notice shop finds the plain model invents last year’s exclusion streets and wants cases grounded in the current spray handbook. What does RAG primarily add?
Select an answer to reveal the explanation.
Short Explanation
RAG is like handing the cook today’s recipe card instead of relying on memory alone. A retriever pulls current sources; the LLM then answers with that material in reach. That keeps cases tied to this year’s handbook.
Full Explanation
Retrieval-augmented generation pairs a retriever with the LLM so answers use additional, up-to-date sources beyond training data alone. In testing, that improves relevance and accuracy when generating cases from current documentation. It is not whole-corpus paste, and it is not a CT-AI coverage technique.