DRAG$_ ext{QPP}$

New DRAG framework dynamically adapts RAG systems for efficiency

Researchers have developed DRAG, a novel framework designed to dynamically adapt retriever and generator configurations in Retrieval-Augmented Generation (RAG) systems. Unlike traditional RAG systems that use fixed sett…