Automated Airport Lounge Finder with n8n and AI
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This n8n workflow automatically finds airport lounges based on user queries. It uses webhooks to receive requests, Langchain for AI processing, and Redis for vector storage to provide efficient and relevant lounge information.
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About This Workflow
Overview
This workflow provides an automated solution for finding airport lounges. It leverages n8n's webhook node to receive user queries, followed by Langchain nodes for natural language processing, embedding generation (using Cohere), and vector storage (using Redis). The workflow is designed to be highly scalable and efficient, enabling users to quickly find relevant airport lounge information without manual intervention. The Agent node orchestrates the AI interactions, and the final output is logged to a Google Sheet for tracking and analysis.
Key Features
- Real-time airport lounge search via webhook.
- AI-powered query understanding and processing.
- Efficient data retrieval using Redis vector store.
- Integrates with Cohere for embeddings and Hugging Face for language models.
- Logs search queries and results to Google Sheets.
How To Use
- Set up the
Webhooknode with your desired path (e.g.,airport_lounge_finder). - Configure the
Splitternode for text processing andEmbeddings(Cohere) for vector creation. - Set up the
InsertandQuerynodes for your Redis vector store, specifying your index name. - Connect the
Toolnode to your Redis vector store and theMemorynode for conversation history. - Configure the
Chatnode (HuggingFace) and theAgentnode to orchestrate AI responses. - Set up the
Sheetnode to log all interactions and results to a Google Sheet. - Activate the webhook and send your airport lounge queries.
Apps Used
Workflow JSON
{
"id": "c2c3e94e-9215-4bd5-9288-a3c58242af76",
"name": "Automated Airport Lounge Finder with n8n and AI",
"nodes": 0,
"category": "AI & 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: c2c3e94e-9215...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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