[Vectara Recognized in two 2025 Gartner® Market Quadrants for Generative AI](https://www.vectara.com/blog/vectara-recognized-in-the-two-2025-gartnerr-market-quadrants-for-generative-ai)
Vectara recognized for model development and AI knowledge management
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Blog - page 12
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Deep Dive Into Vectara Multilingual Reranker v1, State-of-the-Art Reranker Across 100+ Languages
This blog post focuses on the technical details of our latest iteration of Multilingual Reranker v1 which enables state-of-the-art retrieval performance across 100+ languages. Our latest model provides qualitative performance on par with industry leaders like Cohere and surpassing the best open source models. Our latest model also provides users with blazing-fast inference at minimal cost, with the additional capability of rejecting irrelevant text based on score-based cut-offs.
Vectara Launches 2 Powerful New Generative Capabilities
Today, we’re proud to announce 2 significant enhancements to our generative response capabilities. These new features are aimed at significantly improving the developer experience as well as giving Vectara administrators better ability to review and analyze conversations their users have had with the system.
HHEM | Flash Update: Fast. But Are They Furious?
GPT4o and Gemini-1.5-Flash are fast and cheap, but hallucinate more
The Present and Future of Law is being Defined by Generative AI and Legal Minds
Legal minds are being empowered with Generative AI models to revolutionize their legal practices. From AI Assistants and Conversational AI, to getting answers from legal content: I urge managing partners and senior partners to embrace this innovation as the present and future of law is being defined by Generative AI and legal minds.
Tackling the Bull: Data Council Assembles the Braintrust to Tackle the Biggest Problems in Data and AI
A recap of this years Data Council conference and the Lightning Track that Vectara hosted
Gen AI Platform Build vs Buy – Part I: Options and Tradeoffs
When running Gen AI applications, it is important to decide whether to build or buy the RAG infrastructure on which to run your application. This article helps you to make that decision.
HHEM v2: A New and Improved Factual Consistency Scoring Model
Featuring multilinguality, unlimited context window, and calibration – The Hughes Hallucination Evaluation Model (HHEM) v2 is a major upgrade from v1
Do Smaller Models Hallucinate More?
Why the size of the model does not necessarily determine its likelihood to hallucinate
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