Google DeepMind·· 14 days agoFeaturedAI Score62
Google DeepMind Releases Open-Source Lightweight Multimodal Embedding Model EmbeddingGemma 2
EmbeddingGemma 2: an open, lightweight multimodal embedding model
AI summary
Google DeepMind released EmbeddingGemma 2 on October 6, 2026, based on the Gemma 4 architecture, open-sourced under the Apache 2.0 license, with a total parameter count of 740 million, capable of mapping text, code, images, audio, and video into a unified embedding space.
What you can learn
Learn about EmbeddingGemma 2's modular parameter configuration, vector truncation rules, and on-device memory usage for building local multimodal retrieval and RAG pipelines.
Source:Google DeepMind · deepmind.google
Large Language Model ApplicationsOpen-Source Tools#Open Source / Tools#Large Language Model Applications