A specialist that does one thing and does it well: encoding query text into dense vector representations for retrieval tasks. It's built specifically for the query side of a two-tower retrieval setup, meaning it pairs with a separate passage encoder rather than handling both roles. Its 512-token context window keeps it lean and focused on the short, conversational inputs typical of multi-turn dialogue queries.