A specialist that transforms documents into sparse vector representations, lighting up only the most semantically relevant dimensions rather than dense embeddings. It excels at making documents retrieval-ready by expanding and weighting terms intelligently, trading the compactness of dense models for interpretable, efficient sparse outputs. Works best on the document side of a two-tower retrieval setup.