A specialist that converts text into dense vector representations, doing one thing and doing it well. It produces embeddings that capture semantic meaning, making it useful for tasks like similarity search, clustering, and retrieval. As an open-weight model from Google's Gemma 2 family, it trades generative capability entirely for representational precision.