Generating a SQL query using human-defined requirements

In this recipe, we will learn how to use an LLM to infer the schema of a database and generate SQL queries based on human input. The human input would be a simple question. The LLM will use the schema information along with the human question to generate the correct SQL query. Also, we will connect to a database that has populated data, execute the generated SQL query, and present the answer in a human-readable format. Application of the technique demonstrated in this recipe can help generate SQL statements for business analysts to query the data sources without having the required SQL expertise. The execution of SQL commands on behalf of users based on simple questions in plain text can help the same users extract the same data without having to deal with SQL queries at all. Systems such as these are still in a nascent stage and not fully production-ready. Our goal here is to demonstrate the basic building blocks of how to make...