FeaturedSemiconductor
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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Blog - page 17
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Vectara Chat: Revolutionizing Chat Development for the Modern Business
Unveil the future of chatbot technology with Vectara Chat – a comprehensive, user-friendly, and privacy-focused chat for businesses. Enhance user interaction and streamline chatbot development, all while maintaining user privacy and data security
Introducing the Personal API Key: Elevate Your Authentication Experience
Discover the power of the Personal API Key for effortless and secure account management with Vectara. Remember, it’s as private as your password – keep it confidential!
Navigating the Future of Work: Cultivating Connection at Vectara
See how Vectara is evolving work using savvy tools, processes and events to keep a high-performing team engaged, inspired, and connected
Improving Customer Support with AI: A Deep Dive into Conversational AI
Discover the transformative impact of Conversational AI, including its evolution, current trends, and role in revolutionizing customer support. If you’re thinking about why and how to adopt this technology for customer support, we offer some insights
Sankofa – Your Memory Online
We built a powerful sample app called Sankofa, powered by Vectara, that helps you remember all sites you visited on the web, and ask questions about their content.
Retrieval Augmented Generation Buyer's Guide
Regardless of whether you are considering building or buying a RAG solution, you need to understand the players, their offerings, where they accel, and where they are still trying to catch up
Create-UI
Create-UI is the fastest way to generate a Vectara-powered sample codebase for a range of user interfaces
Generative AI for Legal Teams
Learn how Legal teams can use Generative AI to safely increase efficiency, decrease costs, and improve the effectiveness of paralegal research
Retrieval Augmented Generation (RAG) Done Right: Document Stores
Building a RAG pipeline with Vectara and Elasticsearch