According to a new press release, Kinetica has launched a Quick Start for deploying natural language to SQL on enterprise data, allowing organizations to perform ad-hoc data analysis on real-time, structured data. The offering aims to provide a fast and easy way to load structured data, optimize the SQL-GPT Large Language Model (LLM), and ask questions using natural language, with answers returned quickly. The process involves signing up for Kinetica Cloud Free edition, loading files into Kinetica, creating context for tables, and using prompts to ask explicit questions for near-instantaneous answers. The initiative follows Kinetica’s earlier integration of natural language into SQL as part of its GenAI innovations.

Phil Darringer, VP of product at Kinetica, expressed excitement about the groundbreaking Quick Start for SQL-GPT, emphasizing its ability to enable organizations to harness the power of Language to SQL on their enterprise data in just one hour. The fine-tuned LLM is tailored to each customer’s data, with a commitment to guaranteed accuracy and speed, revolutionizing enterprise data analytics with generative AI. Kinetica’s database converts natural language queries to SQL and provides quick answers, even for complex questions. The use of native vectorization, leveraging NVIDIA GPUs and modern CPUs, enables faster query execution on a smaller compute footprint.

The Kinetica Quick Start for SQL-GPT is available now, allowing users to sign up for Kinetica Cloud for free to try out the solution. The real-time analytical database by Kinetica is utilized by major companies globally, offering specialized analytics for time series and spatial workloads in various industries, including the public sector, financial services, telecommunications, energy, healthcare, retail, and automotive.

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