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EmbeddingGemma 2: A Compact Multimodal Embedding Model

EmbeddingGemma 2 is Google’s latest open embedding model for semantic search and retrieval-augmented generation (RAG). Built on Gemma 4, it maps text, source code, images, video, and audio into a shared 768-dimensional vector space. It is released under the Apache 2.0 license and scales from 270 million to 740 million parameters depending on the modalities you enable.

Oct 8, 2026

Khaja Moinuddin Mohammed · 3 min read

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