Google ships EmbeddingGemma 2: 740M multimodal embeddings under Apache 2.0

GlennCameronjr · x · 2026-10-07

Google's Gemma team released EmbeddingGemma 2, a lightweight multimodal embedding model that maps text, code, images, video, and audio into a single unified embedding space. Key specs: 740M parameters with modular encoders, flexible 768–128 dimension sizes via Matryoshka Representation Learning, an 8K context window (4x the text-only predecessor), on-device optimization, and a commercially permissive Apache 2.0 license.

Related event: Google Open-Sources EmbeddingGemma 2, First Native Multimodal Embedding Model(37 posts)→

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