Kinetica – SQL-GPT

Paul Norkus

Kinetica – SQL-GPT

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Kinetica SQL-GPT empowers CSP staff with natural language data queries for 5G/OpenRAN, enabling real-time analysis, faster decisions, and improved efficiency.

Kinetica is the real-time GPU database for analytics and generative retrieval. Its unique architecture supports multiple database models and real-time querying, making it ideal for modern Generative AI applications. Kinetica combines vector, OLAP, graph, time-series, and spatial data, all accessible via SQL, Python, REST, and more. The platform excels in simultaneously ingesting high-volume data streams while executing complex queries, makes it the ultimate choice for conversational AI applications incorporating real-time vector similarity search and large enterprise datasets.

An integrated Language to SQL LLM (SQL-GPT) translates natural language questions from users or agents into performant and accurate SQL queries.

A range of deployment options—including on-premise, cloud, edge, Kubernetes, and fully managed services—ensure that organizations can tailor the setup to their needs.

With enterprise-grade features such as horizontal scale-out, tiered storage, high availability, and robust security measures—including external authentication and authorization, as well as row and column level security—Kinetica is designed to meet the demands of today’s data-driven enterprises.