Google DeepMind Releases EmbeddingGemma 2 Multimodal Embedding Model
Google DeepMind launched EmbeddingGemma 2, an open 740M-parameter multimodal embedding model under Apache 2.0. Built on Gemma 4, it maps text, images, audio, video, and code into one embedding space, with modular encoders and Matryoshka truncation from 768 to 128 dimensions. It follows the original EmbeddingGemma, which passed 20 million downloads.
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“EmbeddingGemma 2 is the most capable model for on-device multimodal embeddings, natively mapping combinations of text, images, audio, and video into a unified embedding space.”
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