Google EmbeddingGemma 300M
Google · embedding · 2K context · 0.1× credits
Google's state-of-the-art open embedding model trained on 100+ languages, generating 768-dimensional vectors for semantic search.
Model ID: mixerlead-ai/google/embeddinggemma-300m
Best for
- Multilingual search (100+ languages)
- Clustering
- Cross-lingual RAG
# Google EmbeddingGemma 300M Guide\n\nBuilt from Gemma research, EmbeddingGemma generates 768-dimensional vectors with state-of-the-art accuracy across 100+ spoken languages.