NEOPOLIS AKADEMY
Query a MySQL database in natural language
Guided practical lab for BI engineers, data engineers or advanced analysts: querying a MySQL database using natural language. Uses n8n and OpenAI to translate NL to SQL, execute queries and present results, with fictional data and human checks.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
This lab teaches converting natural language requests into executable SQL against MySQL using n8n and an OpenAI model.
Steps: formulate NL query, generate/validate SQL, execute on a fictional database and retrieve results.
Includes control mechanisms and human validation to prevent logical errors or unsafe queries.
STEP BY STEP
Course programme
01Query a MySQL database in natural language
Workshop to query a MySQL database in natural language using n8n and OpenAI. Set up the environment, translate NL queries into SQL, execute queries and return formatted results for reporting or ad‑hoc exploration.
Goal: enable natural language SQL queries against a MySQL database.
Method: prepare the environment (n8n, OpenAI, MySQL), build an intermediary that translates NL→SQL and runs the queries.
Use case: get formatted SQL results without hand‑writing SQL, useful for analysts or BI engineers prototyping queries quickly.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page