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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

EmbeddingGemma 2 is a versatile and lightweight multimodal embedding model that facilitates the mapping of text, code, images, video, and audio into a unified embedding space, which is useful for applications such as search, retrieval, classification, routing, and RAG. It is constructed on the Gemma 4 framework and distributed under the Apache 2.0 license, featuring an impressive 740 million parameters while being fine-tuned for efficient on-device inference. Its flexible architecture allows for the use of only 270 million parameters for text-centric tasks, and it includes additional vision and audio encoders for comprehensive multimodal capabilities. Furthermore, the innovative Matryoshka Representation Learning technique enables developers to compress output vectors from 768 dimensions down to 512, 256, or even 128 dimensions, effectively reducing the storage and memory demands for local vector databases. The model is equipped with an 8K-token context window, providing the capability to handle up to 5.5 minutes of audio, 29 images, 58 video frames, or various combinations of these inputs seamlessly on local hardware. This adaptability makes it particularly valuable for developers seeking to enhance their applications with rich multimedia integration.

Description

The Google AI Edge Gallery is an innovative, open-source Android application designed to showcase various applications of on-device machine learning and generative AI, allowing users to download and utilize models offline once installed. This app features a range of functionalities, such as AI Chat for engaging in multi-turn conversations, Ask Image for uploading images to inquire about objects or obtain descriptions, Audio Scribe for transcribing or translating audio files, and Prompt Lab for performing single-turn tasks like summarization and code generation. Additionally, it provides performance insights, offering metrics on aspects like latency and decode speed. Users have the flexibility to switch between compatible models, including options like Gemma 3n and models from Hugging Face, as well as the ability to incorporate their own LiteRT models while accessing model cards and source code for increased transparency. By processing all data locally on the device, the app prioritizes user privacy, requiring no internet connection for core functionalities after the initial model load, which ultimately minimizes latency and bolsters data security. Overall, the Google AI Edge Gallery empowers users to explore cutting-edge AI capabilities while maintaining their privacy and control over their data.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Gemma 3n No 
Hugging Face No 
LiteRT No 

Integrations

Gemma 3n Yes 
Hugging Face Yes 
LiteRT Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/

Vendor Details

Company Name

Google

Country

United States

Website

github.com/google-ai-edge/gallery/

Product Features

Product Features

Alternatives

Alternatives

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Gemma 3n

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