An Intelligent Information Retrieval System Through Natural Language Prompts for Private Database

The current technological innovation is witnessing a substantial surge of interest focused on the creation of so-phisticated tools that facilitate natural language interfaces for databases. This emerging trend is driven by a compelling aim: to bridge the existing accessibility gap that separates the average user from the technical accessibility of traditional databases. A key requirement for achieving this goal is the conversion of everyday natural language queries into structured SQL, a step that transforms technical operations into user-friendly ones. Central to this pursuit is recognizing that natural language is the most intuitive and innate mode of human communication. By leveraging the capabilities of language models, this study effectively demonstrates the translation of natural language requests into structured SQL queries. Upon utilizing this model, the paper also showcases an interactive web application to demonstrate a use case of the system, paving the way to make databases more accessible, user-friendly, and impactful across a broader spectrum of users.