Gemini Embedding 2Google
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Gemini IntelligenceGoogle
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Related Products
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About
Gemini Embedding models, including the newer Gemini Embedding 2, are part of Google’s Gemini AI ecosystem and are designed to convert text, phrases, sentences, and code into numerical vector representations that capture their semantic meaning. Unlike generative models that produce new content, the embedding model transforms input data into dense vectors that represent meaning in a mathematical format, allowing computers to compare and analyze information based on conceptual similarity rather than exact wording. These embeddings enable applications such as semantic search, recommendation systems, document retrieval, clustering, classification, and retrieval-augmented generation pipelines. The model can process input in more than 100 languages and supports up to 2048 tokens per request, allowing it to embed longer pieces of text or code while maintaining strong contextual understanding.
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About
Gemini Intelligence on Android brings the best of Gemini to Google’s most advanced devices, turning Android from an operating system into a more proactive intelligence system that helps users stay a step ahead and get things done throughout the day while keeping data private and the user in control. It automates tedious multi-step tasks across apps, so Gemini can navigate logistics like finding a class syllabus in Gmail and putting needed books in a cart, building a shopping cart from a grocery list on screen, or finding a tour from a photo of a travel brochure, with progress tracked through notifications and final confirmation left to the user. Gemini in Chrome helps users browse smarter by researching, summarizing, and comparing content across the web, while Chrome auto browse can handle mundane tasks like appointment booking or reserving a parking spot.
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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
AI developers and data engineers who need a high-performance embedding model to convert text or code into semantic vectors for search, retrieval, and AI applications
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Audience
Android power users who want proactive AI to automate app tasks, polish messages, fill forms, summarize the web, and personalize device widgets
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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
Free
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
blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-embedding-2/
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Company InformationGoogle
Founded: 1998
United States
blog.google/products-and-platforms/platforms/android/gemini-intelligence/
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Categories |
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Integrations
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Gmail
Google AI Studio
Google Chrome
Python
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Integrations
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Gmail
Google AI Studio
Google Chrome
Python
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