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, ...

Building retrieval-augmented generation (RAG) systems for AI agents often involves using multiple layers and technologies for structured data, vectors and graph information. In recent months it has ...