FeaturedRetrieval Augmented Generation
Think building your own Retrieval-Augmented Generation (RAG) system will give you a competitive edge? Think again. Companies are sinking months and hundreds of thousands of dollars into in-house AI projects, only to end up with sluggish, unsecure, and overpriced systems that can't hold a candle to existing solutions.
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How the new Unstructured’s Vectara Destination Connector helps automate advanced data ingestion into Vectara
Vectara’s all-new Custom Prompt Engine allows customers to take their Retrieval Augmented Generation (RAG) system to the next level: by introducing completely custom prompts that can reference the most relevant text and metadata to solve your GenAI headaches.
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
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!
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.
Create-UI is the fastest way to generate a Vectara-powered sample codebase for a range of user interfaces
Use React-Search to add Vectara semantic search to your React apps with a few lines of code
Automating data ingestion for 350+ sources into Vectara’s GenAI platform using the Airbyte destination connector.
Understanding the content of your corpus with Vectara’s new document management capability.
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