Generate SQL Queries from Schema (AI-Powered)
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Utilizes AI to generate SQL queries based on a database schema and user requests.
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About This Workflow
Overview
This workflow leverages AI to understand your database schema and generate SQL queries based on user input. It first extracts the schema of your MySQL database and saves it locally. Then, it uses an AI model to process your natural language requests and translate them into executable SQL queries, referencing the provided schema. This allows for easy interaction with your database using conversational prompts.
Key Features
- AI-powered SQL query generation
- Database schema extraction and utilization
- Conversational interface for database interaction
- Supports multiple database tables and their structures
How To Use
- Pre-workflow setup: Connect to a free MySQL server and import your database (e.g., using the Chinook dataset). Follow the tutorial for setup.
- Run the first part of the workflow once: This section lists all tables, extracts their schemas, converts them to JSON, and saves them locally as
./chinook_mysql.json. - Interact with the AI: Use the "Chat Trigger" node to input your natural language requests (e.g., "Show me all customers in Canada").
- Receive SQL: The workflow will process your request using the AI agent and the extracted schema, and output the generated SQL query.
Apps Used
Workflow JSON
{
"id": "38b2f202-065e-4f2a-932e-d5a9082c2397",
"name": "Generate SQL Queries from Schema (AI-Powered)",
"nodes": 0,
"category": "AI/ML",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 38b2f202-065e...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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