A quiet specialist that converts text into dense numerical vectors optimized for measuring semantic similarity across languages. It handles over 100 languages in a shared embedding space, meaning sentences with the same meaning in different languages land close together. Compact and focused — it does one thing well but won't help with generation or reasoning tasks.