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Average Ratings 0 Ratings
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
NativeMind serves as a completely open-source AI assistant that operates directly within your browser through Ollama integration, maintaining total privacy by refraining from sending any data to external servers. All processes, including model inference and prompt handling, take place locally, which eliminates concerns about syncing, logging, or data leaks. Users can effortlessly transition between various powerful open models like DeepSeek, Qwen, Llama, Gemma, and Mistral, requiring no extra configurations, while taking advantage of native browser capabilities to enhance their workflows. Additionally, NativeMind provides efficient webpage summarization; it maintains ongoing, context-aware conversations across multiple tabs; offers local web searches that can answer questions straight from the page; and delivers immersive translations that keep the original format intact. Designed with an emphasis on both efficiency and security, this extension is fully auditable and supported by the community, ensuring enterprise-level performance suitable for real-world applications without the risk of vendor lock-in or obscure telemetry. Moreover, the user-friendly interface and seamless integration make it an appealing choice for those seeking a reliable AI assistant that prioritizes their privacy.
API Access
Has API
Yes
API Access
Has API
No
Integrations
DeepSeek
No
Gemini Notebook
No
Gemma
No
Llama
No
Medium
No
Mistral AI
No
Ollama
No
Phi-2
No
Phi-3
No
Phi-4
No
Integrations
DeepSeek
Yes
Gemini Notebook
Yes
Gemma
Yes
Llama
Yes
Medium
Yes
Mistral AI
Yes
Ollama
Yes
Phi-2
Yes
Phi-3
Yes
Phi-4
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
No
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
No
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
No
Vendor Details
Company Name
Founded
1998
Country
United States
Website
blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/
Vendor Details
Company Name
NativeMind
Country
United States
Website
nativemind.app/