SQL QA Chat
This chat uses Svelte on the front end and Flask as the API backend. It leverages OpenAI's GPT-3.5 for AI responses to SQL queries. This is an initial prototype. The system is designed to interpret natural language questions, translate them into SQL queries, and execute them against a database to provide meaningful answers.
Summary of the Chinook Database:
The Chinook database is a sample database representing a digital media store. It includes tables for artists, albums, media tracks, invoices, and customers, among others. This makes it an excellent resource for practicing SQL queries and learning database management. The schema includes relationships between these tables, such as artists to albums and invoices to customers.
For more detailed information, please refer to the SQLite Tutorial.