Automated VIN Decoder with AI and Redis Vector Store
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This n8n workflow automatically decodes Vehicle Identification Numbers (VINs) by leveraging LangChain's AI capabilities, a Redis Vector Store for efficient data retrieval, and Google Sheets for logging. It uses a Webhook to receive VINs, processes them with a Splitter and Embeddings node, stores them in Redis, and then queries the store to provide decoded information.
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About This Workflow
Overview
This workflow automates the process of decoding Vehicle Identification Numbers (VINs) using n8n and LangChain. It's designed to receive VINs via a webhook, process them using AI embeddings, store them in a Redis Vector Store for efficient retrieval, and then utilize an AI agent to provide detailed information about the VIN. The output is logged to a Google Sheet. This is particularly useful for automotive businesses that need to quickly process and retrieve information related to vehicle specifications, history, or compliance.
Key Features
- Webhook Integration: Easily receive VIN data from external systems.
- AI-Powered Processing: Utilizes LangChain for text splitting, embeddings, and AI agent capabilities.
- Redis Vector Store: Efficiently stores and queries VIN data for fast retrieval.
- Chat and Memory: Enables conversational interaction and context retention for the AI agent.
- Google Sheets Logging: Automatically logs decoded VIN information for record-keeping and analysis.
How To Use
- Configure Webhook: Set up the
Webhooknode to receive incoming VIN data. - Connect AI Nodes: Configure the
Splitter,Embeddings,Insert, andQuerynodes with your preferred AI models and Redis instance. - Set up Redis: Ensure your Redis instance is running and properly configured for vector storage.
- Configure Agent: Define the
Agentnode's prompt and connect it to theTool,Memory, andChatnodes. - Connect Google Sheets: Configure the
Sheetnode with your Google Sheet credentials and target sheet for logging. - Trigger the Workflow: Send VIN data to the configured webhook to initiate the decoding process.
Apps Used
Workflow JSON
{
"id": "d75e6e86-e576-4d06-9f9c-8316b9ced142",
"name": "Automated VIN Decoder with AI and Redis Vector Store",
"nodes": 0,
"category": "Automotive 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: d75e6e86-e576...
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