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Your phone’s vector index might be bigger than the AI model running it The New Stack · 5 hours ago · 6

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Month Quarter Year

October 2026

Google DeepMind releases EmbeddingGemma 2, an Apache 2.0 open multimodal embedding model for on-device cross-modal search and retrieval Open source release

6 Oct Your phone’s vector index might be bigger than the AI model running it

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EmbeddingGemma 2 integrated with this tool · 1 source

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TLDRocket 6 October 2026

Google’s EmbeddingGemma 2 did the most to shift what “AI” means this week: not a flashy chat window, but the index and retrieval underneath it. The open Apache 2.0 model moves beyond text into a shared multimodal embedding space for images, audio, and video, with 740 million parameters and a design target of running on a smartphone. Google says on a Pixel 11 Pro it can sit around 567MB of active RAM, and developers can shrink embedding vectors down to 128 numbers (or 512/256/128) without retraining—crucial when your vector database is bigger than the model you’re hoping it will power.

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