A compact multilingual workhorse that maps text from 50+ languages into a shared embedding space, making it useful for cross-lingual similarity tasks. It trades some precision for speed and size by distilling knowledge from a larger teacher model. Works quietly in the background — reliable for semantic search and clustering across language boundaries without heavy compute demands.