EmbeddingGemma 2 supports search across text, code, images, video and audio
The shared embedding space lets developers compare different media types for retrieval, while shorter vectors can reduce storage use at a cost to quality.
• EmbeddingGemma 2 represents text, code, images, video and audio in one 768-dimensional space.
• Its text and code configuration has 270 million parameters; full multimodal support has 740 million.
• At 128 dimensions, it retains about 90% of text retrieval quality and around 75% for image, video and speech retrieval.
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October 19, 2026 24
