Automated Ride-Share Surge Prediction and Logging
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This workflow automates ride-share surge prediction by processing incoming data, generating embeddings, querying a vector store, and logging results to Google Sheets. It leverages webhook triggers and AI tools for intelligent prediction and data management.
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About This Workflow
Overview
This n8n workflow is designed to predict ride-share surge pricing and log the predictions. It utilizes a webhook to receive incoming data, splits it into manageable chunks, and then creates embeddings using an AI model. These embeddings are stored in a Supabase vector store for efficient querying. When a query is made, the workflow retrieves relevant information, utilizes an AI agent to interpret the results and predict surge pricing, and finally logs the outcome to a Google Sheet for review and analysis.
Key Features
- Real-time data ingestion via webhook.
- AI-powered text splitting for efficient processing.
- Vector database integration (Supabase) for intelligent data retrieval.
- Agent-based prediction leveraging LLMs and memory.
- Automated logging to Google Sheets for historical tracking.
How To Use
- Configure the
Webhooknode to receive incoming ride-share data. - Set up
Splitternode with appropriate chunk size and overlap. - Configure
Embeddingsnode with your preferred AI model and credentials. - Set up
InsertandQuerynodes for Supabase vector store, including your index name and credentials. - Configure
Tool,Memory, andChatnodes for the AI agent. - Define the prompt and logic within the
Agentnode. - Configure the
Sheetnode to specify your Google Sheet ID and log sheet name. - Ensure all necessary credentials (Cohere, Supabase, Google Sheets, Anthropic) are set up in n8n.
Apps Used
Workflow JSON
{
"id": "dd02dec2-0fdd-47a8-b1a2-083ffacb31af",
"name": "Automated Ride-Share Surge Prediction and Logging",
"nodes": 0,
"category": "AI & Machine Learning",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: dd02dec2-0fdd...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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