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.
Read more
Rather than continuing my career solely in the banking sector, Vectara offers me the chance to participate directly in this revolution wherever it creates the most value
Vectara adds new powerful capabilities to allow rerankers to be “chained” together to give you a balance of business rules and neural reranking
How to add Observability to your Vectara AI Assistants and Agents with Arize Phoenix
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.
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)
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).
Before we tackle the question at hand, let me provide some background on my journey to Vectara and how I reached this conclusion
A no-code environment for chat with your documents, powered by Vectara
Today, we’re incredibly excited to announce user-defined sorting functions for Vectara!
Connect our community channel.
Join our discussion channel.
Get news, company information.
Adopt best practices in projects.
Suggest your own ideas.
Ask your follow-up questions.
