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Introducing Boomerang – Vectara’s New and Improved Retrieval Model

Introducing Boomerang – Vectara’s New and Improved Retrieval Model

TL;DR In this blogpost we cover the importance of retrieval models for search and generative AI use-cases, and we announce the release of our new state-of-the-art multilingual retrieval model, named Boomerang, that is available for use in the Vectara platform. We compare performance numbers between Boomerang and several other embedding APIs and models and demonstrate Boomerang’s high quality retrieval and generalization capabilities. Finally we discuss real-life quality improvements seen by a Vectara design partner for their use-case.

Suleman KaziVivek Sourabh
Suleman Kazi,Vivek Sourabh
Boosting eCommerce Conversions with Semantic Search

Boosting eCommerce Conversions with Semantic Search

Traditional approaches for eCommerce search have hit their limits, especially when there is a wide variety of products and services and wide variability in how they are described. We explored technical options to tackle this issue, and found that combining traditional keyword based approaches with modern semantic search techniques yielded the best results

Justin HayesJose Montaña
Justin Hayes,Jose Montaña
Search by Meaning

Search by Meaning

Seeking knowledge about our world is something that all of us need. It is a task that goes back to the dawn of human civilization, ever since we figured out…

Dr. Amr Awadallah
Dr. Amr Awadallah
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