Gemini Embedding 2
Natively multimodal embeddings for text, images, video, audio, and documents.
Visit websiteai.google.dev/models/gemini
Overview
Gemini Embedding 2 is Google's first natively multimodal embedding model, capable of generating dense numerical vectors that capture the semantic meaning of diverse content types. It maps text, images, video, audio, and documents into a unified embedding space, enabling advanced AI tasks like cross-modal semantic search, classification, and clustering. This model offers optimized performance and reduced latency for multimodal AI applications.
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Frequently asked questions about Gemini Embedding 2
Yes, Gemini Embedding 2 offers a freemium plan. Natively multimodal embeddings for text, images, video, audio, and documents.
Gemini Embedding 2 is Google's first natively multimodal embedding model, capable of generating dense numerical vectors that capture the semantic meaning of diverse content types. It maps text, images...
Key features of Gemini Embedding 2 include: Natively multimodal: processes text, images, video, audio, and documents., Unified embedding space for cross-modal retrieval and RAG., Supports adjustable output dimensions via Matryoshka Representation Learning (MRL)., Optimizes embeddings with custom task instructions..
Gemini Embedding 2 is primarily designed for businesses and professionals. Natively multimodal embeddings for text, images, video, audio, and documents.
Popular alternatives to Gemini Embedding 2 include Google AI Studio, Cohere, Replicate. Compare their features on Decod.tech to find the best fit.
Gemini Embedding 2 remains relevant in 2026. Gemini Embedding 2 is Google's first natively multimodal embedding model, capable of generating dense numerical vectors that capture the semantic mean The pricing model is freemium. Check reviews and comparisons on Decod.tech to decide.
Gemini Embedding 2 offers a freemium plan. You can start for free and upgrade as your needs grow. Visit the official pricing page for details.