all-mpnet-base-v2

all-mpnet-base-v2 is a sentence embedding model from the Sentence-Transformers project that encodes text into 768-dimensional dense vectors for semantic search, clustering, and similarity tasks. It is fine-tuned from microsoft/mpnet-base on one billion sentence pairs using a contrastive learning objective. Source: supabase.