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Introducing Vectara's Boomerang Grounded Retrieval Model

Join us as we discuss the critical importance of retrieveal in text-based GenAI systems and how Vectara's Grounded Generation is leading the way

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Introducing Vectara's Boomerang Grounded Retrieval Model

It’s now incumbent upon nearly every enterprise to leverage and integrate GenAI into their operations and offerings. Vectara’s Boomerang enhances the platform's ability to bring the paradigm-shifting GenAI capabilities to nearly every organization and developer in a cost-effective, easy-to-use, and secure manner while substantially mitigating the risks of hallucinations.

In recently published benchmarks, Vectara's Boomerang Model outperforms many vendors on certain performance metrics, expressly excelling at multilingual benchmarks.

  • Reduced latency for query execution (20-25% faster)
  • Understanding of content in over 100 languages which captures 99.9% of spoken dialects
  • More accurate thresholding scores to more reliably detect relevant and irrelevant results
  • Amin Ahmed photo
    Amin AhmedFounder, CTO at Vectara

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