A specialist that converts documents into sparse vector representations, where most values are zero and only meaningful terms carry weight. It operates with a distilled architecture, making it leaner and faster than its full-sized counterparts while preserving the core ability to map text into a sparse embedding space. The 512-token context window keeps it focused on shorter passages rather than long documents.