Google EmbeddingGemma 2

An open, lightweight multimodal embedding model

Product HuntArtificial IntelligenceLaunched Oct 12, 2026308#1 of the day

About Google EmbeddingGemma 2

EmbeddingGemma 2 is Google DeepMind's open embedding model that maps text, code, images, video and audio into one shared space, so you can search across them from a single query. At 740M parameters it runs on-device, needing about 567MB of RAM on a Pixel 11 Pro for the full multimodal model (191MB for text only). Apache 2.0 licensed, with weights on Hugging Face and Kaggle. MTEB Code score rises from 68.76 to 78.68.

The people behind Google EmbeddingGemma 2

We haven't found the people behind Google EmbeddingGemma 2 yet. New makers are added as we find them.

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