GoogleGemini-Embedding-001 is Google’s multilingual embedding model, supporting over 100 languages and flexible output dimensions (3072, 1536, or 768), across domains including science, legal, finance, and coding. It is optimized for semantic search, clustering, and recommendations, uses Matryoshka Representation Learning for efficient, high-quality embeddings, and has consistently held a top spot on the Massive Text Embedding Benchmark (MTEB) Multilingual leaderboard.