vector search engine3 min read
How Small Can Google's New EmbeddingGemma 2 Get?
Google’s new EmbeddingGemma 2 can run on a phone. The model travels light. The vectors need their own suitcase. At 10 million documents, full-size float32 vectors alone take 30.7 GB of RAM.
By Andrey VasnetsovQdrant
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Originally published by Qdrant on Oct 6, 2026.
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