multilingual-e5-small

multilingual-e5-small is a compact, open-weight text-embedding model that encodes text in 100+ languages into 384-dimensional vectors for semantic search, retrieval, clustering, and similarity scoring. It is the smallest and fastest member of the intfloat multilingual E5 family, trading some retrieval accuracy for significantly lower latency and memory footprint. Source: supabase.