Intelligent SQL Query Generator and Voice Assistant for Your Data
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Streamline data access with an AI-powered workflow that converts voice or text commands into precise SQL queries. This template leverages Langchain and n8n to intelligently query your PostgreSQL database, ensuring accuracy and efficiency.
About This Workflow
This n8n workflow revolutionizes how you interact with your PostgreSQL database. Designed for seamless integration, it allows users to request data using natural language, whether through voice messages or plain text. The workflow employs sophisticated AI models from Langchain and OpenRouter to understand your intent, generate accurate SQL SELECT statements, and even verify the query's relevance. It smartly handles voice input by transcribing it, then processes both voice and text through a robust AI engine that's trained on your specific database schema. The output is a perfectly formatted SQL query ready for execution, ensuring you get the data you need, quickly and reliably. This template is ideal for automating data retrieval and empowering non-technical users to access information without writing code.
Key Features
- Voice and Text Input: Accepts commands via spoken words or typed messages.
- AI-Powered SQL Generation: Intelligently converts natural language requests into accurate PostgreSQL SELECT queries.
- Customizable Database Schema: Easily define your table structure for precise query generation.
- Query Verification: AI analyzes generated queries to ensure they match user intent.
- Persistent Memory: Leverages PostgreSQL chat memory for context-aware interactions.
How To Use
- Configure Telegram Trigger: Set up your Telegram bot credentials and specify how it should receive updates (e.g., new messages).
- Define Database Schema: In the 'Query agent' node, replace
[REPLACE WITH YOUR DATABASE SCHEMA]and[YOUR_TABLE_NAME]with your actual PostgreSQL table structure and name. Customize the examples to match your common data requests. - Set Up Credentials: Ensure your
OpenRouter accountandPostgres accoucredentials are correctly configured in n8n. - Customize AI Prompts: Refine the
systemMessagein the 'Query agent' node for optimal performance with your specific data. - Connect Nodes: Ensure the workflow connections are correctly established, allowing data to flow from the Telegram trigger through transcription (if voice) and AI processing to the final query generation.
- Execute and Test: Trigger the workflow with voice or text messages to test its ability to generate SQL queries.
Apps Used
Workflow JSON
{
"id": "07339be0-c29c-4030-88ee-e7955eaff8b9",
"name": "Intelligent SQL Query Generator and Voice Assistant for Your Data",
"nodes": 19,
"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: 07339be0-c29c...
About the Author
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