Gemini Embedding 001 converts text into vector representations for semantic search, RAG, and classification with multilingual support for 100+ languages, 2048-token context, and flexible dimensions.
Provider
Credits per 1k words
0.41
Max input tokens
8,192
MTEB retrieval score
67.71
