all-MiniLM-L6-v2

all-MiniLM-L6-v2 is a compact 6-layer sentence-embedding model that encodes sentences and short paragraphs into 384-dimensional dense vectors. It is optimised for semantic search, clustering, and similarity tasks where speed and low resource usage matter more than maximum accuracy. Source: supabase.