Automated Grid Load Alerts with Langchain and Supabase

Overview

This n8n workflow is designed to automate the monitoring and alerting of high grid load situations. It acts as a real-time notification system by leveraging a webhook to receive incoming data, potentially from an energy monitoring system. The core logic involves processing this incoming data using Langchain nodes for natural language understanding and AI-driven analysis. Specifically, it splits text data, generates embeddings, and stores/retrieves information from a Supabase vector database. This allows for intelligent querying and context-aware responses. Finally, the workflow logs critical alerts to a Google Sheet for historical tracking and review.