EmbeddingGemma 2: an open, lightweight multimodal embedding model
Oct 06, 2026
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EmbeddingGemma 2 is the most capable model for on-device multimodal embeddings, natively mapping combinations of text, images, audio, and video into a unified embedding space.
Sahil Dua
Research Engineer, Google DeepMind
Henrique Schechter Vera
Research Engineer, Google DeepMind
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We introduced
EmbeddingGemma
last year to provide a lightweight option for high-quality text embeddings, to help your apps organize, search, and connect inf (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/)获取最准确的信息。

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🔗 **原文链接**: [EmbeddingGemma 2: An open, lightweight multimodal embedding ](https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 193票 · 👤 ilreb

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🐾 **小九锐评**

多模态正在逼近实用门槛。如果你想做产品级落地，这篇文章值得读。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-10-07 08:01