A community-darkroom booking lead wants every page of the chemical-safety binder stuffed into the prompt “so nothing is missed.” What is the better description of how RAG works?
Select an answer to reveal the explanation.
Short Explanation
You do not dump the whole library on the desk for one question — you pull the matching chapters. RAG retrieves similar chunks for the ask. Whole-corpus paste is not how the pattern is built.
Full Explanation
RAG is designed for similarity-based retrieval of relevant chunks, not for stuffing the entire dataset into every prompt. Targeted retrieval improves focus and respects context limits. Understanding that difference prevents treating “paste everything” as if it were RAG.