Automated Road Trip Stop Planner with AI and Supabase
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This workflow leverages n8n's powerful AI nodes to create an automated road trip stop planner. It uses Supabase as a vector store to store and retrieve information, enabling intelligent suggestions for your next stop.
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About This Workflow
Overview
This n8n workflow is designed to automate the process of planning stops for a road trip. It utilizes Langchain's AI capabilities to process and understand road trip-related information, storing it in a Supabase vector database. When a user makes a request via a webhook, the workflow queries the vector store to provide relevant stop suggestions, acting as an intelligent road trip assistant.
Key Features
- Webhook integration for receiving trip requests.
- Langchain Text Splitter for processing input text.
- Cohere Embeddings for creating vector representations of trip data.
- Supabase vector store for efficient data storage and retrieval.
- Langchain Agent with Anthropic's language model for intelligent decision-making.
- Conversation memory to maintain context during interactions.
- Google Sheets integration for logging trip data and interactions.
How To Use
- Set up Webhook: Configure the 'Webhook' node to receive incoming trip requests.
- Process Input: The 'Splitter' node breaks down the input text into manageable chunks.
- Create Embeddings: Use 'Embeddings' (Cohere) to convert text chunks into vector embeddings.
- Store Data: The 'Insert' node in Supabase vector store saves these embeddings.
- Retrieve Information: When a new query comes in, 'Query' node in Supabase fetches relevant vectors.
- Intelligent Agent: The 'Tool' and 'Agent' nodes, powered by Anthropic's model and memory, process the query and retrieved data to generate suggestions.
- Log Data: Use the 'Sheet' node to log all interactions and generated suggestions for future analysis.
Apps Used
Workflow JSON
{
"id": "d5dd76a6-c027-4115-b326-9dcc81f171ad",
"name": "Automated Road Trip Stop Planner with AI and Supabase",
"nodes": 0,
"category": "Travel 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.
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ID: d5dd76a6-c027...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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