AI-Powered SQL Query Generation From Database Schema Only
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Automate SQL query generation based solely on your database schema using AI. This workflow leverages the OpenAI Chat Model and LangChain agents to create SQL queries from schema information, without needing direct access to the data itself.
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About This Workflow
Overview
This n8n workflow automates the process of generating SQL queries by only using your database schema, powered by AI. It's designed to be efficient and secure by avoiding direct data access for query generation. The core logic involves first extracting the database schema, then using a LangChain AI Agent to process user requests and the schema to formulate SQL queries. This approach is particularly useful when you want to allow users to interact with your database through natural language without exposing sensitive data or relying on constant database schema fetching.
Key Features
- AI-powered SQL query generation from database schema.
- Utilizes OpenAI Chat Model and LangChain agents.
- Processes user requests in natural language.
- Generates SQL queries without direct data access.
- Pre-computes and stores schema for faster processing.
How To Use
- Pre-workflow Setup: Connect to a free MySQL server and import your database (e.g., the Chinook database from GitHub).
- Run Once Setup: Execute the first part of the workflow (nodes up to 'Save file locally') once to fetch and save your database schema to
./chinook_mysql.json. - Chat Interaction: Send messages to the 'Chat Trigger' node. The workflow will load the schema, process your request with the AI Agent, and generate SQL queries.
- Execute SQL: The generated SQL queries will be outputted. You will need to manually execute these queries against your database.
Apps Used
Workflow JSON
{
"id": "f37764f1-6bd7-498d-9bb5-5dd7d4241ff3",
"name": "AI-Powered SQL Query Generation From Database Schema Only",
"nodes": 0,
"category": "Database & Storage",
"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: f37764f1-6bd7...
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