Google DeepMind launches EmbeddingGemma 2 for multimodal embeddings on devices

Oct 6, 2026

AI Summary

Google DeepMind has introduced EmbeddingGemma 2, an advanced model for on-device multimodal embeddings that integrates text, images, audio, and video. This model, which features 740 million parameters, enhances capabilities for local search and retrieval while prioritizing data privacy and efficiency.

EmbeddingGemma 2 is designed to unify various data types, including text, images, audio, and video, into a single embedding space for on-device use.
The model is built on the Gemma 4 architecture and is released under the Apache 2.0 license, featuring 740 million parameters for optimal performance.
It improves code performance significantly, achieving a score of 78.68 in MTEB Code, and is suitable for tasks like semantic code search and local codebase indexing.
EmbeddingGemma 2 allows for local generation of embeddings, enhancing data privacy and reducing latency in search and retrieval processes.
The model can be paired with generative models like Gemma 4 to create efficient on-device retrieval augmented generation (RAG) pipelines.
Developers can utilize EmbeddingGemma 2 for various applications, including media library searches and video moment retrieval, through tools available in the Google AI Edge Gallery.
The model supports real-time decision-making capabilities via the MediaPipe Decision Task API, enabling classification and predictive tasks based on multimodal data.
Google DeepMind collaborated with partners to ensure immediate compatibility and usability of EmbeddingGemma 2 in development environments.

embeddingmultimodalmodelopen sourcelightweight

Google DeepMind launches EmbeddingGemma 2 for multimodal embeddings on devices

Related Stories

Sophos reduces cyber-threat investigation time significantly using OpenAI Daybreak

Website Simulates Elizabeth Holmes' Desk with Court Documents from Theranos Trial

Jev, an AI for making quick decisions, has been a viral hit in Silicon Valley. But OpenAI is hot on its heels

Google introduces Gemini AI with task management capabilities for businesses