GenAI is calling
Equip your teams with AI assistants sporting never-before-seen accuracy and full chat history metrics.
Download the executive briefCreate AI assistants that drive right to the heart of relevancy
With Vectara’s end-to-end RAG platform, telecoms can embed GenAI quickly and easily without the risk of data or privacy violations — and without a data science or machine learning team.
Features
Conversational history for your AI assistant
Vectara chat offers chat history that incorporates previous chat into context for a more intelligent response.
With RAG-as-a-service at its core, Vectara chat lets developers build an AI assistant with security and high relevance at a reasonable price.
Cross-lingual operation
Vectara breaks down every word into its meaning allowing you to retrieve relevant information across languages and generate answers in any language.
This means users can ask a question in any language and get a response in any language, without losing response accuracy.
Advanced generation for better RAG performance
Mockingbird achieves the world's leading RAG output quality, with leading hallucination mitigation capabilities, making it perfect for enterprise RAG and autonomous agent use cases.
Data never leaves Vectara’s environment and consistently outperforms major models like OpenAI’s GPT-4 and Google’s Gemini 1.5 Pro in RAG output quality, citation accuracy, multilingual performance, and structured output accuracy.
Use Cases
Maqsam
Maqsam, a call center automation company, has a highly technical team composed of some of Jordan’s best software engineers. See why they selected Vectara instead of taking a DIY approach to RAG.
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Vectara is the shortest path between question and answer, delivering true business value in the shortest time.