Self-RAG

An agent's decision to search a data store or answer from model memory usually rests on a single hand-written description that goes stale as users add and delete files, according to an analysis priced…

Agentic RAG transforms retrieval from a fixed pipeline step into a decision-making loop where an agent retrieves, evaluates, and retries if necessary. This approach, implemented via frameworks like La…