Self-RAG

Self-RAG is a retrieval-augmented generation method in which the model decides when retrieval is needed and critiques the retrieved passages and its own output using special reflection tokens.

Self-RAG sits in the Retrieval & memory part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called self-reflective RAG.