Vector Database for Production-level Gen AI

“Priceline has been at the forefront of using machine learning for many years. Vector search gives us the ability to semantically query the billions of real-time signals we receive as part of our checkout experience that flow back to Astra DB. We plan to use Google Cloud’s Generative AI capabilities alongside Astra DB’s vector search to power our real time data infrastructure and Generative AI experiences."

 “Vector search is a really important aspect of Generative AI. It has multiple applications for example, holding in personalized or contextually relevant information to those large language model interactions to make them more contextually relevant.”

“Finding specific policies and operating procedures is time-consuming and challenging due to scattered storage across various platforms. Using Astra DB's vector search capabilities, SkyPoint can leverage these benefits to enhance its services, offering users real-time, contextual, and personalized solutions. This leads to accurate predictions and personalized healthcare outcomes at a lower cost.”

"In 2017, we started to use DataStax. For the first time in the bank's history, we can provide a real 360-degree view of customers—not only to internal people but also to the customers: all the products in a nice, simple view. Personalization will be more and more important. In our opinion, that will be the key differentiation.”

"Financial services enterprises are unlocking the value of enriched transactional data with the Bud platform. We depend on DataStax Astra DB for the dynamic scalability and high performance we need to apply machine learning (ML) to real-time data. This means we can provide highly accurate, actionable insights for our clients and their customers."