A new architectural approach demonstrates that filtering ambiguous queries before they reach the language model can reduce...

Source Brief

A new architectural approach demonstrates that filtering ambiguous queries before they reach the language model can reduce Retrieval-Augmented Generation inference costs by up to six times. Routing non-essential traffic through lightweight classifiers prevents expensive LLM calls while maintaining audit readiness for regulated industries.