AI-Powered SQL Query Generation From Schema
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Streamline your database interactions with this AI-powered n8n workflow. It leverages OpenAI's GPT-4o to generate SQL queries based solely on your database schema, accessible through a simple chat interface. Perfect for developers and analysts looking to accelerate query creation and database exploration.
About This Workflow
This n8n workflow revolutionizes how you interact with your database by integrating a powerful AI agent. Initially, it connects to your MySQL database to automatically extract and save its schema locally. Once the schema is cached, you can engage with the AI via a chat trigger. Powered by GPT-4o, the AI agent, equipped with conversational memory, interprets your natural language requests and generates precise SQL queries. This intelligent assistant provides the SQL commands, empowering you to quickly retrieve, analyze, or manipulate data without extensive manual query writing.
Key Features
- Intelligent SQL Generation: Harnesses OpenAI's GPT-4o to translate natural language prompts into accurate SQL queries based on your database structure.
- Automated Schema Extraction: Effortlessly connects to your MySQL database to fetch and store its complete schema, providing the AI with essential context.
- Interactive Chat Interface: Engage with the AI agent through a user-friendly chat trigger, making query generation as simple as a conversation.
- Conversational Memory: The AI remembers previous interactions within a defined window, allowing for more fluid and context-aware query refinements.
- Local Schema Caching: Optimizes performance by saving the database schema locally, eliminating repeated database calls for schema retrieval.
How To Use
- Pre-workflow Setup:
- Ensure you have a MySQL database accessible. If starting fresh, set up a free MySQL server (e.g.,
db4free.net) and import your database (e.g., the Chinook sample database). - Configure your MySQL credentials in n8n.
- Ensure you have a MySQL database accessible. If starting fresh, set up a free MySQL server (e.g.,
- Initial Schema Extraction:
- Execute the nodes connected to "List all tables in a database" and "Extract database schema" once. This will connect to your database, extract the full schema, and save it to a local JSON file (
./chinook_mysql.json).
- Execute the nodes connected to "List all tables in a database" and "Extract database schema" once. This will connect to your database, extract the full schema, and save it to a local JSON file (
- Set Up OpenAI Credentials:
- Ensure your
OpenAI Chat Modelnode has valid OpenAI API credentials configured with access togpt-4o.
- Ensure your
- Initiate Chat:
- Activate the
Chat Triggernode. You can then interact with the workflow via its webhook URL (e.g., using a messaging app, custom frontend, or n8n's built-in chat UI).
- Activate the
- Enter Your Request:
- Provide natural language prompts to the AI agent, detailing the SQL query you need (e.g., "Show me all tracks by the artist 'Queen'", or "Find customers who spent more than $100").
- Receive SQL Query:
- The AI agent will process your request, using the cached database schema, and return the generated SQL query wrapped in triple quotes, ready for you to execute in your database tool.
Apps Used
Workflow JSON
{
"id": "e190352a-e1a4-4a4a-989f-3ac72ec1e5b2",
"name": "AI-Powered SQL Query Generation From Schema",
"nodes": 13,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: e190352a-e1a4...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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