Arctic Embed 2.0Snowflake
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Gemini EmbeddingGoogle
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Related Products
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About
Snowflake's Arctic Embed 2.0 introduces multilingual capabilities to its text embedding models, enhancing global-scale retrieval without compromising English performance or scalability. Building upon the robust foundation of previous releases, Arctic Embed 2.0 supports multiple languages, enabling developers to create stream-processing pipelines that incorporate neural networks and complex tasks like tracking, video encoding/decoding, and rendering, facilitating real-time analytics on various data types. The model leverages Matryoshka Representation Learning (MRL) for efficient embedding storage, allowing for significant compression with minimal quality degradation. This advancement ensures that enterprises can handle demanding workloads such as training large-scale models, fine-tuning, real-time inference, and high-performance computing tasks across diverse languages and regions.
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About
Gemini Embedding’s first text model (gemini-embedding-001) is now generally available via the Gemini API and Gemini Enterprise Agent Platform, having held a top spot on the Massive Text Embedding Benchmark Multilingual leaderboard since its experimental launch in March, thanks to superior performance across retrieval, classification, and other embedding tasks compared to both legacy Google and external proprietary models. Exceptionally versatile, it supports over 100 languages with a 2,048‑token input limit and employs the Matryoshka Representation Learning (MRL) technique to let developers choose output dimensions of 3072, 153,6, or 768 for optimal quality, performance, and storage efficiency.
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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
Global enterprises and developers in need of a solution to optimize their enhanced information retrieval and AI-driven applications
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Audience
Data scientists wanting a solution for multilingual retrieval, classification and other advanced AI applications
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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
$2 per credit
Free Version
Free Trial
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Pricing
$0.15 per 1M input tokens
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 InformationSnowflake
Founded: 2012
United States
www.snowflake.com/en/engineering-blog/snowflake-arctic-embed-2-multilingual/
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Company InformationGoogle
Founded: 1998
United States
developers.googleblog.com/en/gemini-embedding-available-gemini-api/
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Categories |
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Integrations
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
OpenAI
Python
Snowflake
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Integrations
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
OpenAI
Python
Snowflake
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