Contriever

Contriever is an unsupervised dense text-retrieval model from Meta/Facebook Research that encodes queries and documents into a shared vector space for semantic search via nearest-neighbor lookup. It was trained with contrastive learning on unlabeled text, enabling competitive retrieval without labeled query-document pairs. Source: supabase.