
The highly-technical vocabulary of the semiconductor industry requires models with specialized training, provided with direct access to rich, multimodal data and complex documents.
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The highly-technical vocabulary of the semiconductor industry requires models with specialized training, provided with direct access to rich, multimodal data and complex documents.
Read more
Introducing the Open RAG Benchmark: A revolutionary, multimodal dataset built from arXiv PDFs to elevate RAG system evaluation with real-world text, table, and image understanding.

The Open Evaluation website makes it easier for you to spot the patterns within an Open RAG Eval evaluation report and take effective steps to improve your RAG system.

AI agents have the power to transform enterprise workflows—but without proper safeguards, they can easily go off course. In this blog, we explore the growing need for Guardian Agents like Vectara’s Hallucination Correction Agent

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.

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.

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.

In financial services, transformation isn’t optional. It’s constant. Regulatory pressure, digital-first customers, and fractured data landscapes have created a race for real-time intelligence and faster, smarter decisions.

Every year, governments and agencies roll out thousands of pages of new rules, policies, and updates. For businesses and public institutions trying to keep up, it’s become a massive, expensive problem.

AI Assistants and Agents are revolutionizing financial services, offering hyper-personalized customer experiences, operational efficiencies, and enhanced risk management. Explore how Vectara’s GenAI and RAG-powered platform enables financial institutions to embrace this new wave of intelligent, autonomous technology securely and effectively.