MQTT Topic Monitor with AI-Powered Webhook and Logging
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This n8n workflow monitors MQTT topics via a webhook, processes incoming data with AI agents, and logs the results to a Google Sheet. It leverages Langchain nodes for intelligent data handling and storage in a Redis vector store.
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About This Workflow
Overview
This n8n workflow is designed to monitor MQTT topics by creating a webhook endpoint. When data is received on this endpoint, it's processed using Langchain nodes. The data is first split into manageable chunks, then embedded using OpenAI embeddings, and subsequently stored in a Redis vector store for efficient retrieval. A Langchain agent, powered by a language model and memory, intelligently processes incoming requests, queries the vector store, and generates responses. Finally, the outcomes are logged to a Google Sheet for review and auditing.
Key Features
- Real-time MQTT topic monitoring via a webhook.
- AI-powered data processing using Langchain.
- Data chunking and embedding for intelligent analysis.
- Storage and retrieval of embeddings in Redis.
- Agent-based interaction with memory and language models.
- Automatic logging of workflow events to Google Sheets.
How To Use
- Configure the Webhook node with your desired MQTT topic path.
- Set up OpenAI Embeddings and Redis Vector Store nodes with your API credentials and index names.
- Configure the Splitter, Tool, Memory, and Chat nodes with appropriate parameters and credentials.
- Define the Agent prompt and link it to the other Langchain nodes.
- Set up the Google Sheets node to log the final output, ensuring you have the correct Sheet ID and name.
- Activate the workflow and send data to the configured webhook URL to initiate the process.
Apps Used
Workflow JSON
{
"id": "9395c333-085e-4ec6-b720-cd719572164e",
"name": "MQTT Topic Monitor with AI-Powered Webhook and Logging",
"nodes": 0,
"category": "IoT Automation",
"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: 9395c333-085e...
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