Raw SignalOct 21, 20261 min read1 source

Google released EmbeddingGemma 2 , a 740M open-weight multimodal embedding model for text, image, audio, and video.

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Google announced EmbeddingGemma 2, an open-weight multimodal embedding model with 740 million parameters.

What changed: Same event as EmbeddingGemma 2 is a best-in-class open model for natively multimodal embeddings

The model maps text, images, video frames, and audio into a shared vector space and is designed for local execution. Google says the full multimodal model uses about 567 MB of active RAM on a Pixel 11 Pro, while text-only weights use about 191 MB.

The Google AI Edge Gallery adds demonstrations for searching local photos and videos with natural-language queries, including locating moments in video without first transcribing audio or generating text captions. Google also says ML Kit support is planned for the coming weeks; that integration is not yet available according to the announcement.

Evidence / sources

  1. 1developers.googleblog.com/google-ai-edge-with-embeddinggemma-2
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