Systems and methods for generative ai fine-tuning framework for natural language to custom query syntax translation

Abstract

A system, method, and computer-program product includes obtaining a data query schema that provides instructions for constructing computer-executable search queries according to a search syntax permitted by a target data query language, extracting, from the data query schema, one or more sets of query components that define the search syntax of the target data query language, synthetically generating a plurality of natural language-to-search query training data samples based at least in part on the one or more sets of query components, and configuring a natural language-to-search query machine learning model based on training a machine learning text-to-text transformer model using the plurality of natural language-to-search query training data samples.