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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.
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.
How Sankofa was Built with Vectara
Leveraging Vectara’s API to build Sankofa, a browser extension that allows anyone to chat with their web content history
Say Goodbye to Delays: Expedite Your Experience with Stream Query
Discover how Stream Query reduces latency by delivering Gen AI responses in real-time chunks, eliminating the frustration of waiting for LLM’s response
Evaluating RAG with RAGAs
How to measure the quality of your Vectara RAG pipeline with RAGAs
Automating Hallucination Detection: Introducing the Vectara Factual Consistency Score
Vectara’s Factual Consistency Score (FCS) offers an innovative and reliable solution for detecting hallucinations in RAG. It’s a calibrated score that helps developers evaluate hallucinations automatically. This tool can be used by our customers to measure and improve response quality. The FCS can also be used as a visual cue of response quality shown to the end-users of RAG applications
User Interfaces for AI Applications
Discover Vectara’s Four Principles for UI Development in the Age of AI.
Introducing New UI Tools for Vectara Chat – Create UI and React-chatbot
Utilize Create-UI for a comprehensive, full-screen chat application integrated with Vectara’s chat capabilities. For more compact solutions, embed React-Chatbot within your React application, offering users a sleek, minimally intrusive chatbot widget.
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