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What is NativeMind?

NativeMind is an entirely open-source AI assistant that runs directly in your browser via Ollama integration, ensuring complete privacy by not transmitting any information to external servers. All operations, such as model inference and prompt management, occur locally, thereby alleviating worries regarding syncing, logging, or potential data breaches. Users can easily navigate between a variety of robust open models, including DeepSeek, Qwen, Llama, Gemma, and Mistral, without needing additional setups, while leveraging native browser functionalities to optimize their tasks. Furthermore, NativeMind offers effective webpage summarization, supports continuous, context-aware dialogues across multiple tabs, facilitates local web searches that can respond to inquiries directly from the webpage, and provides translations that preserve the original format. Built with a focus on both performance and security, this extension is fully auditable and community-supported, ensuring that it meets enterprise standards for practical uses without the dangers of vendor lock-in or hidden telemetry. In addition, its intuitive interface and smooth integration make it a desirable option for anyone in search of a dependable AI assistant that emphasizes user privacy. This way, users can confidently engage with advanced AI capabilities while maintaining control over their personal information.

What is EmbeddingGemma?

EmbeddingGemma is a flexible multilingual text embedding model boasting 308 million parameters, engineered to be both lightweight and highly effective, which enables it to function effortlessly on everyday devices such as smartphones, laptops, and tablets. Built on the Gemma 3 architecture, this model supports over 100 languages and accommodates up to 2,000 input tokens, leveraging Matryoshka Representation Learning (MRL) to offer customizable embedding sizes of 768, 512, 256, or 128 dimensions, thereby achieving a balance between speed, storage, and accuracy. Its capabilities are enhanced by GPU and EdgeTPU acceleration, allowing it to produce embeddings in just milliseconds—taking less than 15 ms for 256 tokens on EdgeTPU—while its quantization-aware training keeps memory usage under 200 MB without compromising on quality. These features make it exceptionally well-suited for real-time, on-device applications, including semantic search, retrieval-augmented generation (RAG), classification, clustering, and similarity detection. The model's versatility extends to personal file searches, mobile chatbot functionalities, and specialized applications, with a strong emphasis on user privacy and operational efficiency. Therefore, EmbeddingGemma is not only effective but also adapts well to various contexts, solidifying its position as a premier choice for diverse text processing tasks in real time.

Media

Media

Integrations Supported

DeepSeek
Gemma
Gemma 3
Gemma 4
Llama
Medium
Mistral AI
NotebookLM
Ollama
Phi-2
Phi-3
Phi-4
Qwen

Integrations Supported

DeepSeek
Gemma
Gemma 3
Gemma 4
Llama
Medium
Mistral AI
NotebookLM
Ollama
Phi-2
Phi-3
Phi-4
Qwen

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NativeMind

Company Location

United States

Company Website

nativemind.app/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google.dev/gemma/docs/embeddinggemma

Categories and Features

Categories and Features

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