Automated Hourly Weather Logging with Langchain and Pinecone
detail.loadingPreview
This n8n workflow automatically logs hourly weather data by receiving webhook triggers, processing text with Langchain, storing embeddings in Pinecone, and appending results to a Google Sheet. It includes error alerting via Slack.
🚀Ready to Deploy This Workflow?
About This Workflow
Overview
This n8n workflow is designed to automate the process of logging hourly weather data. It leverages a combination of n8n's built-in nodes and Langchain integrations to achieve this. The workflow starts with a Webhook Trigger to receive incoming weather data. This data is then processed using the Text Splitter and Embeddings nodes, powered by Langchain and Cohere, to create vector representations. These embeddings are stored in a Pinecone vector database using the Pinecone Insert node. For more advanced interactions or querying, a Pinecone Query node is available, which feeds into a Vector Tool and RAG Agent. The Chat Model (OpenAI) and Window Memory nodes contribute to the agent's conversational capabilities. Finally, the processed results are appended to a Google Sheet using the Append Sheet node, and any errors encountered during the process are reported via a Slack Alert.
Key Features
- Real-time data ingestion via Webhook Trigger.
- Text processing and embedding generation using Langchain and Cohere.
- Efficient storage and retrieval of weather data embeddings in Pinecone.
- Optional RAG (Retrieval Augmented Generation) agent for advanced data interaction.
- Automated logging of processed data to a Google Sheet.
- Robust error handling with Slack notifications.
How To Use
- Set up a
Webhook Triggerto receive your hourly weather data. - Configure the
Text SplitterandEmbeddingsnodes with your desired chunking strategy and embedding model (e.g., Cohere). - Set up your Pinecone index and configure the
Pinecone InsertandPinecone Querynodes to connect to your index. - If using the RAG agent, configure the
Chat Model(e.g., OpenAI) andWindow Memorynodes. - Set up your Google Sheets credentials and configure the
Append Sheetnode to log the processed data. - Configure the
Slack Alertnode with your Slack credentials and channel for error notifications.
Apps Used
Workflow JSON
{
"id": "91f6bbb3-2262-4cbd-b17f-8cdf20a6e80e",
"name": "Automated Hourly Weather Logging with Langchain and Pinecone",
"nodes": 0,
"category": "Misc",
"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: 91f6bbb3-2262...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
Statistics
Verification Info
Related Workflows
Discover more workflows you might like
Automated Drink Water Reminder Workflow
This workflow uses n8n and Langchain to create an automated drink water reminder system. It leverages a Webhook Trigger, Text Splitter, Embeddings, and Supabase for RAG agent functionality, ultimately logging reminders to a Google Sheet.
Integrate Blog Comments with Discord via Webhook and AI
This workflow automates the process of receiving blog comments via a Webhook Trigger and processing them using Langchain AI. The processed comments are then stored in Supabase and logged to a Google Sheet, with error alerts sent to Slack.
Automate CSV Attachment to Airtable with a RAG Agent
This n8n workflow automates the process of handling CSV attachments by using a Retrieval Augmented Generation (RAG) agent. It leverages a Webhook Trigger, Text Splitter, Embeddings, Pinecone, and a Chat Model to intelligently process and log data.