AI-Powered Hourly Weather Log & Analysis
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Automate the capture, intelligent analysis, and logging of hourly weather data with this n8n workflow. Leveraging RAG AI, it processes incoming weather information, stores context in Pinecone, and outputs insights directly to Google Sheets, with Slack alerts for any issues.
About This Workflow
This n8n workflow provides a robust solution for automated hourly weather data management and intelligent analysis. Triggered by a webhook, it ingests incoming weather logs, segments them, and creates vector embeddings using Cohere. These embeddings are then stored in a Pinecone vector database, serving as a dynamic knowledge base for contextual retrieval. An advanced RAG (Retrieval Augmented Generation) agent, powered by OpenAI's chat model, utilizes this stored context and conversational memory to intelligently process the data. The resulting analysis or "status" is automatically appended to a Google Sheet for comprehensive logging and historical tracking, while critical errors are instantly communicated via Slack.
Key Features
- Automated Data Ingestion: Easily capture hourly weather data via a dedicated webhook endpoint.
- Intelligent AI Analysis (RAG): Leverage a Retrieval Augmented Generation agent with OpenAI to deeply understand and process weather logs using contextual information from your vector database.
- Scalable Knowledge Base: Utilize Cohere embeddings and Pinecone for efficient storage and retrieval of weather data context, enhancing AI reasoning.
- Automated Logging & Reporting: Seamlessly append AI-generated insights and status updates to a designated Google Sheet for easy tracking and historical analysis.
- Real-time Error Alerts: Stay informed with instant Slack notifications if the AI processing encounters any issues.
- Conversational Memory: The AI agent maintains a windowed memory for more coherent and context-aware interactions.
How To Use
- Webhook Trigger Setup: Configure the
Webhook Triggernode to expose an endpoint. Send your hourly weather data (e.g., JSON payload) to this URL. - Vector Database & Embeddings: Set up credentials for Cohere (Embeddings) and Pinecone (Pinecone Insert/Query) and specify your
hourly_weather_logPinecone index. - AI Model Integration: Provide your OpenAI API credentials for the
Chat Modelnode. - Google Sheets Logging: Authenticate your Google Sheets account. Specify the
Document IDof your target spreadsheet and theSheet Name(e.g., "Log") where the AI's output will be appended. - Slack Error Alerts: Configure your Slack API credentials and set the
#alertschannel (or your preferred channel) for real-time error notifications.
Apps Used
Workflow JSON
{
"id": "427232f3-b948-49ae-afde-62bcb56ffb87",
"name": "AI-Powered Hourly Weather Log & Analysis",
"nodes": 10,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 427232f3-b948...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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