Automated Fuel Price Monitoring and Logging
detail.loadingPreview
This workflow monitors fuel prices by leveraging a webhook and Langchain integration. It processes incoming price data, embeds it into a vector store, and logs the information to a Google Sheet for analysis.
🚀Ready to Deploy This Workflow?
About This Workflow
Overview
This n8n workflow is designed to automate the monitoring of fuel prices. It utilizes a Webhook to receive fuel price data, a Splitter and Embeddings node from Langchain to process and vectorize this data, and Vector Store Weaviate nodes to store and query it. An Agent orchestrates the process, using Memory and a Chat model, with the final output logged to a Google Sheets node. This workflow solves the problem of manually tracking fluctuating fuel prices, providing an automated system for data ingestion, storage, and logging.
Key Features
- Real-time fuel price data ingestion via webhook.
- Langchain integration for text splitting, embedding, and vector storage.
- Weaviate vector database for efficient data querying and retrieval.
- Agent-based processing with memory and chat capabilities.
- Automated logging of fuel price data to Google Sheets.
How To Use
- Configure the
Webhooknode with your desired path (e.g., 'fuel_price_monitor'). - Set up
Langchaincredentials for HuggingFace Embeddings and Weaviate. - Configure the
InsertandQuerynodes with your Weaviate index name ('fuel_price_monitor'). - Set up your
Google Sheetscredentials and specify theSHEET_IDandLogsheet name in theSheetnode. - Trigger the webhook with fuel price data to initiate the monitoring process.
Apps Used
Workflow JSON
{
"id": "f627e9f7-ecea-48b1-9561-c666259277a4",
"name": "Automated Fuel Price Monitoring and Logging",
"nodes": 0,
"category": "Energy Automation",
"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: f627e9f7-ecea...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
Statistics
Verification Info
Related Workflows
Discover more workflows you might like
Automated Renewable Incentive Tracker with AI
This workflow automates the tracking of renewable energy incentives. It utilizes a Webhook to receive data, splits and embeds it using Langchain nodes, stores it in Pinecone, and then queries it with an AI agent to log insights into Google Sheets.
Automated Solar Output Forecasting with AI and Vector Stores
This n8n workflow leverages AI and Supabase vector stores to automate solar energy output forecasting. It uses Langchain nodes to process data and an agent to provide predictions via a webhook.