Unlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic RAG (opens in new tab)

Current single-step retrieval-augmented generation (RAG) systems weren’t designed for the multi-source, multi-hop queries of modern business workflows. If, for example, the query is, "What are the specs of the server used in Project X?", the system might find documents about Project X, but those documents might only mention a server ID. It won't know to take that ID and perform a second search in another database to find the specs. The result is a partial answer or a "not found" response beca...