EmbeddingGemmaGoogle
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Related Products
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About
EmbeddingGemma is a 308-million-parameter multilingual text embedding model, lightweight yet powerful, optimized to run entirely on everyday devices such as phones, laptops, and tablets, enabling fast, offline embedding generation that protects user privacy. Built on the Gemma 3 architecture, it supports over 100 languages, processes up to 2,000 input tokens, and leverages Matryoshka Representation Learning (MRL) to offer flexible embedding dimensions (768, 512, 256, or 128) for tailored speed, storage, and precision. Its GPU-and EdgeTPU-accelerated inference delivers embeddings in milliseconds, under 15 ms for 256 tokens on EdgeTPU, while quantization-aware training keeps memory usage under 200 MB without compromising quality. This makes it ideal for real-time, on-device tasks such as semantic search, retrieval-augmented generation (RAG), classification, clustering, and similarity detection, whether for personal file search, mobile chatbots, or custom domain use.
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About
Locally AI is an on-device AI application that allows users to run powerful language models directly on their iPhone, iPad, or Mac without relying on cloud infrastructure or an internet connection. Built on Apple’s MLX framework, it delivers fast, efficient performance while minimizing power usage, enabling a seamless experience for chatting, creating, learning, and exploring AI capabilities across devices. It supports multiple open models such as Llama, Gemma, Qwen, and DeepSeek, allowing users to switch between them and tailor outputs to different tasks. Everything runs entirely offline, meaning no login is required, and no data is collected or transmitted, ensuring complete privacy and control over personal information. Users can interact with AI through natural conversations, analyze documents or images, and generate text in a unified interface designed for simplicity and responsiveness.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers interested in a solution providing multilingual embeddings that run offline and respect privacy
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Audience
Privacy-conscious mobile users and developers who want to run and experiment with AI models locally on their devices without relying on the cloud
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationGoogle
Founded: 1998
United States
ai.google.dev/gemma/docs/embeddinggemma
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Company InformationLocally AI
United States
locallyai.app/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Gemma 4
Cogito
DeepSeek
Gemma
Gemma 3
Hugging Face
IBM Granite
Llama
Qwen
SmolLM2
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Integrations
Gemma 4
Cogito
DeepSeek
Gemma
Gemma 3
Hugging Face
IBM Granite
Llama
Qwen
SmolLM2
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