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HCMBench: an evaluation toolkit for hallucination correction models
Product Updates

HCMBench: an evaluation toolkit for hallucination correction models

HCMBench is Vectara’s open-source evaluation toolkit designed to rigorously test and compare hallucination correction models. With modular pipelines, diverse datasets, and multi-level evaluation metrics, it gives developers a powerful, standardized way to measure and improve the accuracy of RAG system outputs.

Rogger Luo
Rogger Luo
Vectara's Hallucination Corrector
Product Updates

Vectara's Hallucination Corrector

AI hallucinations create significant business risks and erode user trust. Vectara's Hallucination Corrector (VHC) identifies inaccuracies, suggests fixes, and provides essential guardrails for your AI applications.

Matt GonzalesDonna DongChenyu XuSuleman KaziRogger Luo
Matt Gonzales,Donna Dong,Chenyu Xu,Suleman Kazi,Rogger Luo
New HHEM and OpenAI chat completions endpoints
Product Updates

New HHEM and OpenAI chat completions endpoints

We’ve created a trusted platform for building safe and reliable AI applications and continue to invest in features that improve reliability, accuracy, and flexibility. Today, we're taking another step forward by introducing two powerful new capabilities: the Hallucination Evaluation Model (HHEM) and OpenAI Chat Completions endpoints.

Matt GonzalesAbhishek PradhanIbraheem Faiq
Matt Gonzales,Abhishek Pradhan,Ibraheem Faiq
Introducing custom text encoders on Vectara
Product Updates

Introducing custom text encoders on Vectara

We’re excited to announce custom text encoders, empowering users to integrate their preferred text embedding models directly into Vectara. This enhancement offers greater flexibility and control over the text processing pipeline, accommodating various project requirements.

Matt GonzalesPranav Hegde
Matt Gonzales,Pranav Hegde
HHEM: expanded language support
Product Updates

HHEM: expanded language support

Vectara’s Hughes Hallucination Evaluation Model (HHEM) now supports 8 languages, expanding from English, German, and French to include Portuguese, Spanish, Arabic, Chinese - Simplified, and Korean.

Matt GonzalesForrest Bao
Matt Gonzales,Forrest Bao
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