AI agents are all the rage. Companies are eager to put them to work, and providers are racing to capitalize on the demand. But as often happens, the market’s enthusiasm is outpacing its understanding.

If you looked under the hood of generative AI (GenAI) technologies over the last year or so, you probably came across the concept of retrieval augmented generation (RAG). RAG has gained a lot of buzz, ...