A quiet, multilingual workhorse that converts text into dense vector embeddings across dozens of languages. It handles cross-lingual semantic similarity reliably — matching a query in English against documents in French or Japanese without breaking a sweat. Compact enough to run locally, though larger specialized models may outperform it on domain-specific retrieval tasks.