Gemini Embedding 2 model

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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