Predictive Maintenance Alert Automation

This n8n workflow is designed to automate the detection and logging of predictive maintenance alerts using AI and vector similarity search techniques. It starts with a webhook that receives data related to maintenance status or issues. The data is then split into manageable chunks, which are converted into embeddings using OpenAI’s models. These embeddings are stored in a Weaviate vector database for efficient similarity searches. The workflow then queries this database to find related maintenance data, facilitating predictive insights. An AI-powered agent interprets the context, guiding actions such as generating alerts or recommendations. The process concludes with logging the findings into a Google Sheet for record-keeping and further analysis. This automation is especially useful for industrial operations, manufacturing, and facilities management, enabling proactive maintenance decisions and reducing downtime.