---
type: "raw_signal"
id: "google-expands-embeddinggemma-beyond-text-to-images-audio-91b223"
slug: "google-expands-embeddinggemma-beyond-text-to-images-audio-91b223"
title: "Google expands EmbeddingGemma beyond text to images, audio and video"
description: "Google has released EmbeddingGemma 2, an open multimodal embedding model that maps text, images, audio and video into a shared embedding space."
retrieval_nugget: "Google has released EmbeddingGemma 2, an open multimodal embedding model that maps text, images, audio and video into a shared embedding space."
observed_at: "2026-10-10"
record_date: "2026-10-10"
date_kind: "observed_at"
why_it_matters: "Source: https://siliconangle.com/2026/10/06/google-expands-embeddinggemma-beyond-text-to-images-audio-and-video"
novelty: "notable"
verification_level: "source-linked"
signal_type: "announcement"
source_platform: "siliconangle.com"
topics: ["google"]
entities: ["Google","EmbeddingGemma 2","Gemma 4","Hugging Face","Kaggle","vLLM","llama.cpp","Ollama"]
related_patterns: ["generative-media-becomes-application-infrastructure"]
source_url: "https://siliconangle.com/2026/10/06/google-expands-embeddinggemma-beyond-text-to-images-audio-and-video"
source_urls: ["https://siliconangle.com/2026/10/06/google-expands-embeddinggemma-beyond-text-to-images-audio-and-video"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:google-expands-embeddinggemma-beyond-text-to-images-audio-91b223"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/google-expands-embeddinggemma-beyond-text-to-images-audio-91b223/","markdown":"https://newruntime.com/signals/google-expands-embeddinggemma-beyond-text-to-images-audio-91b223.md","json":"https://newruntime.com/signals/google-expands-embeddinggemma-beyond-text-to-images-audio-91b223.json"}
---

# Google expands EmbeddingGemma beyond text to images, audio and video

## Retrieval answer

Google has released EmbeddingGemma 2, an open multimodal embedding model that maps text, images, audio and video into a shared embedding space.

Google has released EmbeddingGemma 2, an open multimodal embedding model that maps text, images, audio and video into a shared embedding space. SiliconANGLE reports that it is based on the Gemma 4 architecture and has 740 million parameters, while its 270-million-parameter text core used about 191 MB in a quantized test on a Google Pixel 11 Pro. Embeddings contain 768 values and can be reduced to 128; Google says retrieval quality for image, video and speech remains about 95% at 256 dimensions. The weights are available on Hugging Face and Kaggle under Apache 2.0, and work with vLLM, llama.cpp and Ollama. The release extends the earlier text-only EmbeddingGemma line to multimodal retrieval, including on-device use cases such as finding a video moment from a voice query.

Source: https://siliconangle.com/2026/10/06/google-expands-embeddinggemma-beyond-text-to-images-audio-and-video

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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