Google open-sources EmbeddingGemma 2: offline multimodal RAG on phones in ~567MB RAM

Saboo_Shubham_ · x · 2026-10-07

Google released EmbeddingGemma 2, an open-weights embedding model enabling fully offline multimodal RAG on phones: 191MB RAM for text search, 567MB for text + image + video + audio, measured on a Pixel 11 Pro. Weights are released under Apache 2.0.

Related event: Google Releases EmbeddingGemma 2, an Open Multimodal Embedding Model for On-Device AI(41 posts)→

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