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The Latest Benchmark Between Vectara, OpenAI and Cohere’s Embedding Models

Blog post from Vectara

Post Details
Company
Date Published
Author
Nick Ma & Vivek Sourabh
Word Count
634
Company Posts That Month
10
Language
English
Hacker News Points
-
Post removed?
No
Summary

Vectara's Boomerang is a leading embedding model launched in September 2023, designed for production use cases and balancing precision, embedding size, and storage costs effectively. It holds its own against the latest embeddings from OpenAI and Cohere, outperforming them on multilingual and cross-lingual performance while being comparable on English language performance. Boomerang is a small yet powerful model with high precision and low storage costs, meeting the criteria of achieving a small embedding size (<1K) with high precision and low storage costs. It stands out as the optimal choice for production use cases, effectively balancing quality, embedding size, and storage costs, making it a suitable option for users looking to leverage retrieval-augmented generation in their GenAI apps.

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