The Astra DB vector database is designed for building real-world, production-level AI applications with real-time data. With simultaneous search and update on distributed data and streaming workloads, Astra DB provides ultra-low latency and highly relevant results that eliminate redundancies. This creates more responsive, more accurate production generative AI applications that reduce hallucinations with real-time data updates, and increase responsiveness with concurrent queries and updates.
“There is increasing demand for databases to wear multiple hats in serving the enterprise, involving both broader operational capability and better analytics,” said Carl Olofson, research vice president for data management software, IDC. “Such enhancements include easy and practical support for vector search in support of a range of generative AI functions, and incorporate those functions in both operational and analytical contexts. The flexibility of Cassandra lends itself to such enhancements, and this new JSON API for Astra DB is right in line with the emerging needs of DataStax developers.”
For more information on the JSON API for Astra DB and how to build generative AI applications with DataStax, read the blog here.
DataStax is at the forefront of the generative AI revolution, with proven technologies that empower any organization to deliver the AI-powered applications that are redefining business. The company’s marquee product is Astra DB, the industry’s only vector database for building real-world, production-level AI applications using real-time data. Built on Apache Cassandra—the massively scalable open source database proven by AI leaders—Astra DB is the data engine for responsive AI applications that consistently deliver accurate results, without artificial hallucinations.