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EmbeddingGemma 2 maps text, images, audio, and video into one embedding space

blog.google 4 min read Editor score 7/10

Google says EmbeddingGemma 2 is a lightweight multimodal model that maps text, images, audio, and video into a unified embedding space for on-device use. It may expand retrieval and search options for privacy-conscious applications.

What

- EmbeddingGemma 2 is an on-device multimodal embedding model that maps text, images, audio, and video into a shared embedding space.

How

- Optional vision and audio encoders add multimodal support; Matryoshka Representation Learning lets developers truncate output vectors.

Why it matters

- Local multimodal search and retrieval can run on consumer hardware, with vector truncation reducing storage and memory use.

Read on blog.google → Hacker News · 31 comments

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