Arctic Embed 2.0 Description
Snowflake's Arctic Embed 2.0 brings enhanced multilingual functionality to its text embedding models, allowing for efficient global-scale data retrieval while maintaining strong performance in English and scalability. This version builds on the solid groundwork of earlier iterations, offering support for various languages and enabling developers to implement stream-processing pipelines that utilize neural networks and tackle intricate tasks, including tracking, video encoding/decoding, and rendering, thus promoting real-time data analytics across multiple formats. The model employs Matryoshka Representation Learning (MRL) to optimize embedding storage, achieving substantial compression with minimal loss of quality. As a result, organizations can effectively manage intensive workloads such as training expansive models, fine-tuning, real-time inference, and executing high-performance computing operations across different languages and geographical areas. Furthermore, this innovation opens new opportunities for businesses looking to harness the power of multilingual data analytics in a rapidly evolving digital landscape.
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Pricing
Pricing Starts At:
$2 per credit
Integrations
Company Details
Company:
Snowflake
Year Founded:
2012
Headquarters:
United States
Website:
www.snowflake.com/en/engineering-blog/snowflake-arctic-embed-2-multilingual/
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Product Details
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Web-Based
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Online Support
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