Building a Natural Language Database Interface
Create a system where users ask questions in plain English, the model generates SQL via function calling, your app executes the query safely, and the model narrates the results.
Natural Language to SQL: The Vision
Imagine asking your database 'Which customers spent more than $1,000 last month?' and getting an answer — without writing a single SQL query. A natural language database interface uses function calling to let the LLM generate SQL, your application executes it safely, and the model narrates the results in plain English. This pattern democratizes data access for non-technical users.
System Architecture Overview
The NL-to-SQL pipeline has four components working together:
- Schema context: The LLM receives your database schema so it knows what tables and columns exist.
- SQL generation: The model generates a SQL query as a function call argument.
- Safe execution: Your app validates and runs the query, then returns results.
- Result narration: The model receives query results and explains them in natural language.
All lessons in this course
- Defining Function Schemas for the API
- Processing Tool Calls in Your Application
- Parallel Function Calling
- Building a Natural Language Database Interface