State-of-the-art sentence and text embeddings — compute semantic similarity, clustering, and dense retrieval.

MIT-licensed SOTA English embedding model from BAAI — top MTEB leaderboard performer, commercial-friendly.

384-dimensional sentence embeddings with tens of millions of downloads — fast, compact, and remarkably accurate for semantic search and clustering.

Apache-2.0 text embedding model with 8192-token context — the first open, auditable, long-context embedding.

Facebook AI Similarity Search: blazing-fast library for efficient similarity search and clustering of dense vectors.