A compact, specialized embedding model focused on SQL-related text. With a 514-token context window, it operates in tight quarters — well-suited for encoding SQL queries and schema fragments rather than long documents. Its narrow focus means it likely produces more semantically meaningful vector representations for database-related content than general-purpose embedding models.