Kinetica, the real-time database for analytics and generative AI, has announced the availability of a Quick Start for deploying natural language to SQL on enterprise data. This Quick Start is for organizations that want to experience ad-hoc data analysis on real-time, structured data using an LLM that accurately and securely converts natural language to SQL and returns quick, conversational answers.

According to the company, this offering makes it fast and easy to load structured data, optimize the SQL-GPT Large Language Model (LLM), and begin asking questions of the data using natural language. This announcement follows a series of GenAI innovations which began last May with Kinetica becoming the first analytic database to incorporate natural language into SQL.

Here is how it works:
● First, sign up for Kinetica Cloud Free edition;
● Second, simply load files into Kinetica;
● Third, create context for those tables that will help the LLM associate the words and terminology with the names of fields and columns;
● Finally, use the prompt to ask explicit questions and get near instantaneous answers.

“We’re thrilled to introduce Kinetica’s groundbreaking Quick Start for SQL-GPT, enabling organizations to seamlessly harness the power of Language to SQL on their enterprise data in just one hour,” said Phil Darringer, VP of Product, Kinetica. “With our fine-tuned LLM tailored to each customer’s data and our commitment to guaranteed accuracy and speed, we’re revolutionizing enterprise data analytics with generative AI.”

The Kinetica Quick Start for SQL-GPT is now available. Step by step instructions are available here. Users can sign up for free for Kinetica Cloud to try it out.