Text Multilingual Embedding 002 converts text into vector representations optimized for cross-lingual semantic search, RAG, and clustering across numerous languages with 2048-token context.
Provider
Credits per 1k words
0.07
Max input tokens
3,072
MTEB retrieval score
59.68
