Watch Desk posted an update
A new review of RAG, CAG and KAG argues that the search method underneath these labels can matter more than the label itself. Its author points to BM25 and hybrid search as robust options, while noting cost and architectural constraints for newer dense and graph approaches.
Why it mattersFor anyone building AI search, that is a useful reminder: choosing an acronym is not the same as choosing a retrieval system that fits the job. Which should guide that choice more: benchmark performance, cost, or the kind of answers people need?
Discuss: Which should guide a retrieval system choice more: benchmark performance, cost, or the kind of answers people need?
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