Vectara launches the open source Hughes Hallucination Evaluation Model (HHEM) and uses it to compare hallucination rates across top LLMs including OpenAI, Cohere, PaLM, Anthropic’s Claude 2 and more.
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Building AI Assistants with Vectara-agentic and Arize
How to add Observability to your Vectara AI Assistants and Agents with Arize Phoenix
Vectara vs. The Rest (A Go-to-Market Perspective)
Vectara enables developers and businesses to easily embed generative AI into applications without needing data science expertise. As a serverless, end-to-end Retrieval-Augmented Generation (RAG) platform, it cuts deployment time from years to weeks. With proprietary LLMs, scalability, and cost efficiency, Vectara offers flexible deployment options, ensuring trust, control, and adaptability for businesses driving AI innovation.
Highlights from The AI Conference 2024: Vectara’s Impact and Industry Trends
Vectara sponsors The AI Conference in San Francisco where they presented on an Advanced RAG Panel and hosted a meetup on Build vs. Buy (RAG solution)
Correcting Hallucinations in Large Language Models
In this blog post, we share the results of our initial experiments aimed at correcting hallucinations generated by Large Language Models (LLMs). Our focus is on the open-book setting, which encompasses tasks such as summarization and Retrieval-Augmented Generation (RAG).
You’re Not an Engineer. Why Should You Care About RAG?
Before we tackle the question at hand, let me provide some background on my journey to Vectara and how I reached this conclusion
Introducing Vectara Portal
A no-code environment for chat with your documents, powered by Vectara
Introducing User-Defined Functions for Vectara
Today, we’re incredibly excited to announce user-defined sorting functions for Vectara!
Introducing Vectara-Agentic
Enabling advanced RAG applications with Vectara Agentic
HHEM 2.1: A Better Hallucination Detection Model and a New Leaderboard
The upgraded HHEM-2.1 outperforms both GPT-3.5-Turbo and GPT-4 for hallucination detection and is powering our updated HHEM leaderboard.
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