In a Retrieval-Augmented Generation (RAG) system using Claude, what is the correct sequence of operations?
Select an answer to reveal the explanation.
Short Explanation and Infographic
RAG works like a smart librarian — your question gets matched to relevant documents, those documents get handed to Claude, and Claude answers using those specifics.
Full explanation below image
Full Explanation
RAG systems work in sequence: (1) a user query is embedded into a vector using an embedding model, (2) that vector is used to search a vector database for semantically similar document chunks, (3) the retrieved chunks are included in the Claude API prompt as context, (4) Claude generates a grounded answer using that context. This gives Claude access to current, specific information without fine-tuning or internet access. Option A reverses the flow illogically. Option C describes fine-tuning, not RAG. Option D describes internet browsing, which Claude doesn't do by default.