Automated Predictive Maintenance Alerts with AI and Weaviate
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This n8n workflow leverages AI and Weaviate to create automated predictive maintenance alerts. It processes incoming data via a Webhook, splits and embeds it, stores it in Weaviate, and then uses an AI agent to generate alerts, logging them to a Google Sheet.
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About This Workflow
Overview
This workflow automates the process of detecting and alerting on potential equipment failures through predictive maintenance. It acts as a central hub for ingesting maintenance data, enriching it with AI capabilities, and triggering notifications. The core logic involves using a Webhook to receive sensor data or maintenance logs, a Splitter to prepare the data for AI processing, and Embeddings to convert text into vector representations. This data is then stored and retrieved from a Weaviate vector database using Insert and Query nodes. An AI Agent, powered by Chat and Memory, analyzes the data and identifies potential maintenance issues. Finally, a Sheet node logs these critical alerts to a Google Sheet for easy monitoring and action.
Key Features
- Real-time data ingestion via Webhook.
- AI-powered data splitting and embedding for advanced analysis.
- Vector storage and retrieval using Weaviate for efficient data management.
- Intelligent alert generation with an AI Agent.
- Comprehensive logging of alerts to a Google Sheet.
How To Use
- Set up a
Webhookto receive your predictive maintenance data. - Configure the
SplitterandEmbeddingsnodes to process your data. - Connect to your
Weaviateinstance for vector storage and retrieval, ensuring the index name matches the workflow. - Configure the AI
Agent,Chat, andMemorynodes with your desired AI model and prompts. - Set up the
Sheetnode to log alerts to your Google Sheet, providing the Sheet ID and name.
Apps Used
Workflow JSON
{
"id": "cefeafed-2928-4c1e-9238-877d19526fb7",
"name": "Automated Predictive Maintenance Alerts with AI and Weaviate",
"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: cefeafed-2928...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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