Self-Reflective Retrieval-Augmented Generation (SELF-RAG)

SELF-RAG is a framework that uses reflection tokens to improve the quality and accuracy of generative AI responses. It outperforms standard RAG approaches and introduces more overhead in terms of inference. Out-of-domain queries are recognized and not serviced via retrieval. The complexity of the RAG process raises the question Show more