2 min · Google AI Blog
Google Releases EmbeddingGemma 2 with 740M Parameters and Unified Multimodal Space
Google introduced EmbeddingGemma 2, a 740-million-parameter open embedding model built on the Gemma 4 architecture. It maps text, code, audio, and video into a unified vector space on edge devices while slashing storage requirements by 6x. Developers can now run multimodal semantic retrieval entirely offline.
Why it matters. You can run offline multimodal vector search directly on user devices without external API calls or excessive disk footprint.
