A focused retrieval specialist that excels at matching questions to relevant passages. Built on the T5 architecture, it encodes text into dense vectors optimized for finding semantically similar content rather than generating answers. Handles longer contexts reasonably well but is purpose-built for retrieval tasks, not general-purpose embedding.