Partially Verified75% confidenceFactExact time
EmbeddingGemma 2 is a multimodal embedding model built by Google on the Gemma 4 architecture, capable of encoding text, images, audio, and video into a shared 768-dimensional vector space.
3
Sources
75%
Confidence
Long-term
Relevance
10/6/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedGoogle open-sourced the multimodal embedding model EmbeddingGemma2, which can convert text and images into the same vector space.78% similarPartially VerifiedGoogle released Embedding Gemma 2, its first native multimodal open embedding model targeting on-device use, with only 740 million parameters, open weights under the Apache 2.0 license, capable of understanding text, code, images, audio, and video within a single shared space.77% similarUnverifiedEmbeddingGemma 2 has been integrated into Google's Gemma open-source model family.70% similarUnverifiedGoogle's specialized Gemma models include: EmbeddingGemma for text embedding and semantic search, FunctionGemma for tool calling, PaliGemma focused on vision, and ShieldGemma focused on safety67% similarUnverifiedGoogle has launched Google AI Edge Foresight, a voice notes application for macOS, equipped with the Gemma series and Embedding Gemma models, with voice processed by local models during transcription.65% similar
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