A lightweight specialist that takes a query and a list of candidate documents, then returns a relevance score for each pair — nothing more, nothing less. It trades raw accuracy for speed and a tiny footprint, making it the kind of model that quietly slots into a retrieval pipeline without demanding much compute. Its focus is narrow by design: reranking, not generation or embedding.