Automated Hourly Weather Data Logging and Analysis

This n8n workflow automates the process of logging, analyzing, and storing hourly weather data in a structured manner. It starts with an HTTP webhook trigger that receives weather data inputs. The data is then split into manageable chunks, embedded into vector representations using Cohere’s embedding model, and stored in a Pinecone vector database for efficient retrieval. The workflow also performs real-time querying of the stored data, processes it with OpenAI’s language models via a Retrieval-Augmented Generation (RAG) agent, and appends relevant insights or status updates to a Google Sheet. Additionally, it includes error handling with Slack notifications to alert users of any issues. This setup is ideal for weather monitoring services, meteorological projects, or automated environmental data logging systems.