AI Chatbot for MySQL: Ask in Plain Language, Get Data

# Natural language chatbot for MySQL queries with context support

This automation template allows users to ask questions in chat using natural language, which are converted into SQL queries to a MySQL database via AI. Results are returned as text directly in the chat. The scenario preserves chat history to maintain conversational context.

## Who it´s for
- Analysts who need quick data access without writing SQL.
- Managers monitoring real-time business metrics.
- Developers testing query logic via natural language.

## What the automation does
- Receives a chat message as a trigger.
- Routes the text to a LangChain-based AI agent trained on MySQL schema.
- Generates and safely executes SQL queries based on database structure.
- Returns results as readable text back to the chat.
- Maintains conversation history for contextual continuity.

## What´s included
- Ready-to-use n8n workflow.
- Trigger logic for chat_message events.
- Integrations with MySQL, Groq API, and LangChain components.
- Basic written instructions for launch and adaptation.

## Requirements for setup
- Access to an n8n instance.
- MySQL database account with read access.
- API key for Groq.
- Configured connection to a chat platform (via webhook or integration).

## Benefits and outcomes
- Faster self-service data access without technical involvement.
- Reduced dependency on manual SQL writing.
- Support for conversational data interaction.
- Scalability across multiple users.
- Automated handling of repetitive queries.

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via chat