Automated Weather Impact Report Generation

This n8n workflow automates the process of collecting, analyzing, and storing weather impact data for easy retrieval and reporting. It begins with a webhook that triggers the workflow when new data arrives, such as weather reports or alerts. The data is then split into manageable chunks using a text splitter, and embeddings are created for each chunk via Hugging Face’s API, which helps in semantic search and retrieval.

The workflow stores these embeddings in a vector database (Supabase), facilitating quick similarity searches during queries. When a new weather impact report is needed, the system queries the database to find related data, which is then processed by an AI language model (using Anthropic API) to generate a comprehensive report or answer based on the stored data. The generated report is then logged into a Google Sheet for record-keeping.

This workflow is particularly useful for organizations monitoring weather patterns, disaster response teams, meteorological agencies, or businesses affected by weather conditions. It enables automated, intelligent analysis and documentation of weather impacts, streamlining decision-making processes and reporting.