AI-Powered Weather Impact Reporter – HuggingFace + Google Sheets

Automate weather intelligence like never before with this smart n8n automation workflow.

This system takes weather-related input (via webhook), slices it into manageable chunks, and transforms it using HuggingFace’s embedding model. From there, it stores the contextual data in Supabase's vector DB, allowing future AI analysis through a powerful Retrieval-Augmented Agent (RAG). It uses memory buffers to keep relevant context across conversations and generates summaries using Anthropic’s AI chat model.

Finally, the outcome is appended neatly into Google Sheets—creating a structured log of weather impacts, trends, or user reports. Ideal for meteorology projects, logistics teams, agriculture monitoring, or climate analytics.

Key Use Cases:

• Automatically generate AI-powered summaries from weather reports
• Track environmental impacts in structured format
• Enable semantic querying over previous reports
• Integrate with Google Sheets without writing code

Whether you're a weather analyst, researcher, or just want to auto-document weather effects—this plug-and-play workflow gives you the tools you need without writing a single line of code.