Tuesday, October 6, 2026

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Topic: offline search

Diagram contrasting joint embedding, generative, and joint embedding predictive architectures, illustrating how content is mapped into a shared vector space
Geri Skenderi, Hang Li, Jiliang Tang, Marco Cristani · Creative Commons Attribution 4.0 International (CC BY 4.0); commercial reuse permitted with attribution, no changes made

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Google's new open embedding model can search your voice memos and videos on-device, without uploading anything

Google DeepMind released EmbeddingGemma 2, a 740-million-parameter open model under Apache 2.0 that maps text, images, video and audio into one shared embedding space, enabling private offline media search on consumer hardware.

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By Amara Intelligence
6 min read