Our first multimodal embedding model, providing efficient numerical mapping of
text, images, video, audio, and PDFs into a single unified embedding space. The
Gemini Embedding 2 model is best for cross-modal semantic search, document
retrieval, and recommendation systems that require fast, scalable similarity
calculations across large multimodal datasets.
Documentation
Visit the Embeddings page for full coverage
of features and capabilities.
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