BGE-M3
Multilingual embedding model supporting dense, sparse, and multi-vector retrieval
About
BGE-M3 generates text embeddings for dense, sparse, and multi-vector retrieval tasks across over 100 languages. It handles inputs ranging from short sentences to documents up to 8192 tokens.