Vehicle Telematics Data Analysis and Logging Workflow

This n8n workflow is designed to analyze vehicle telematics data received through a webhook. The workflow starts with a webhook trigger that receives raw data, which is then split into manageable chunks using a text splitter. These chunks are processed to generate embeddings with OpenAI, enabling intelligent indexing and retrieval from a Redis vector store. The system uses LangChain components to perform semantic search and generate insights or responses based on the telematics data. An agent, powered by HuggingFace’s language models, interprets the data and generates meaningful outputs or actions. Finally, the processed information, including logs, is stored in Google Sheets for record-keeping. This workflow is ideal for fleet management, vehicle diagnostics, or telematics-based service alerts, providing real-time data analysis and historical logging to improve operational decision-making.