TL;DR
An advanced AI framework where autonomous agents dynamically plan, execute, and verify the information retrieval process within a reasoning loop.
Unlike traditional retrieval-augmented generation which relies on a single-pass retrieve-and-generate pipeline, this architecture embeds retrieval within an agentic control loop. The agent acts as a supervisor that can decompose a complex user query, query multiple diverse sources, assess the quality of the retrieved information, and reformulate queries if initial passes yield insufficient context. This allows systems to handle highly ambiguous, multi-step queries that require synthesizing facts across disjointed documents.
Why this matters for your business
It significantly increases the accuracy of enterprise search. This makes AI assistants capable of resolving complex regulatory questions without human intervention.
