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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For app developers and product managers, implementing hybrid search into your application can be a game-changer for findability and improved user experiences. We break down the process of implementation, best practices, and considerations for when you want to bring hybrid search to your products and users.
Vectara attributes its intern program’s diversity as a major driver of innovation, creativity, and product excellence
Today, researchers and analysts can be the beneficiaries of new ideas from massive research archives that may have never been possible in the past due to GenAI-powered hybrid search which can return pinpoint accurate results from 1,000’s of documents and sources, in any language and in an instant.
Traditional approaches for eCommerce search have hit their limits, especially when there is a wide variety of products and services and wide variability in how they are described. We explored technical options to tackle this issue, and found that combining traditional keyword based approaches with modern semantic search techniques yielded the best results
Chatbots can create efficiencies across the customer experience and beyond, but choosing the right chatbot is the most important decision you can make
Dive deep into the mechanics of Vector Search, where data meets geometry to redefine the future of search algorithms.
What the current GenAI stack looks like, and the role of emerging GenAI platforms like Vectara…
Which option is better for GenAI applications with your data
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