Tag: embedding
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Google’s EmbeddingGemma 2 Puts Multimodal Search on the Device
Lead — On October 6, 2026, Google DeepMind released EmbeddingGemma 2, a 740-million-parameter open model that maps text, code, images, video, and audio into a single shared 768-dimensional vector space. Built on the Gemma 4 architecture and shipped under the commercially permissive Apache 2.0 license, it is designed to run on phones and laptops rather […]
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Google Launches Gemini Embedding 2: Its First Multimodal Embedding Model
On March 10, 2026, Google DeepMind released Gemini Embedding 2 — the company’s first natively multimodal embedding model. Unlike traditional embedding models that handle only text, Gemini Embedding 2 maps text, images, video, audio, and documents into a single unified vector space, enabling cross-modal search, classification, and clustering across over 100 languages. Intermediate Key points […]