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# Gemini Embedding 2 Preview 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.

# gemini-embedding-2-preview

Property Description
Model code Gemini API gemini-embedding-2-preview
Supported data types Input Text, image, video, audio, PDF Output Text embeddings
Token limits[1](https://ai.google.dev/gemini-api/docs/tokens)^ Input token limit 8,192 Output dimension size Flexible, supports: 128 - 3072, Recommended: 768, 1536, 3072
Versions Read the model version patterns for more details. - Preview: gemini-embedding-2-preview
Latest update March 2026

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