Revolutionizing Database Access with Generative AI

Develop a Proof of Concept that integrates OpenAI technology and the potential of generative AI to allow users to formulate questions about their databases in natural language.

The objective is to interact intuitively with the company’s traceability system, known as Teseo, without the need to know Structured Query Language (SQL).

Implementation of an application that uses generative AI to interpret questions formulated in natural language and convert them into specific SQL queries. This conversion facilitates the extraction of required data directly from the Teseo database without technical knowledge.

The application acts as an intermediary, translating the user’s information needs into technical commands that the database system can process and execute efficiently.

The proposed solution has the potential to revolutionize the way users access information in the company’s traceability system. By simplifying the interaction with the database, the technical barrier for non-specialized users is significantly reduced.

This not only improves efficiency and productivity by facilitating fast and accurate queries, but also fosters greater autonomy in data exploration. In addition, displaying results immediately on screen enhances informed decision making based on up-to-date and relevant data.