Connected Car Alert Workflow

This n8n workflow automates the process of receiving, analyzing, and storing connected car alerts using AI and cloud services. The workflow begins with an incoming webhook that receives alert data, which is then split into manageable chunks for text processing. Using OpenAI’s language models, the system generates embeddings for the alert data and stores them in a Redis vector database. It can query this database to find similar alerts or data points in the future. Additionally, it uses AI to interpret and respond to the alert details, maintaining conversational context with Memory nodes. The workflow logs activities into Google Sheets for tracking and analysis. Practical applications include real-time vehicle monitoring, predictive maintenance alerts, and intelligent alert management for fleet operators or automotive service providers.