AI-Powered Machine Downtime Predictor for Manufacturing
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Leverage AI and n8n to build a Machine Downtime Predictor. This workflow uses Langchain nodes to process data, embed it into a vector store, and predict potential downtime events, ultimately logging them to Google Sheets.
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About This Workflow
Overview
This n8n workflow is designed to predict machine downtime in a manufacturing environment using AI. It utilizes Langchain nodes to process incoming data, split it into manageable chunks, generate embeddings, and store them in a Weaviate vector database. When a query is made, it searches the vector store for relevant information, leverages an AI agent for reasoning, and logs the results to a Google Sheet. This proactive approach helps in minimizing unexpected production halts and optimizing maintenance schedules.
Key Features
- Real-time data processing via Webhook.
- Efficient text splitting for better embedding accuracy.
- OpenAI embeddings for semantic understanding.
- Weaviate vector store for efficient similarity search.
- AI Agent for intelligent decision-making and prediction.
- Logging of predictions to Google Sheets for historical tracking.
How To Use
- Configure the 'Webhook' node to receive real-time machine data.
- Adjust the 'Splitter' node's
chunkSizeandchunkOverlapfor optimal text processing. - Ensure your OpenAI API credentials are set up for the 'Embeddings' node.
- Set up your Weaviate vector database and configure the 'Insert' and 'Query' nodes with your
indexName('machine_downtime_predictor'). - Configure the 'Chat' node with your preferred Anthropic model and credentials.
- Set up your Google Sheets API credentials and specify the
documentIdandsheetNamein the 'Sheet' node for logging. - Trigger the workflow with machine data and observe the downtime predictions being logged.
Apps Used
Workflow JSON
{
"id": "f9e0f4af-8343-4a75-9d7d-a37de01ff902",
"name": "AI-Powered Machine Downtime Predictor for Manufacturing",
"nodes": 0,
"category": "Manufacturing 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: f9e0f4af-8343...
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