AI-Powered Airport Lounge Finder with RAG
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Discover airport lounges effortlessly with this AI-powered n8n workflow. It uses a Retrieval Augmented Generation (RAG) architecture to deliver instant, accurate information about lounges based on your queries, all triggered via a simple webhook.
About This Workflow
This sophisticated n8n workflow transforms how you access airport lounge information. Acting as a smart 'Airport Lounge Finder', it combines the power of a custom knowledge base stored in Redis with an intelligent Langchain Agent. Upon receiving a query via a webhook, the Agent utilizes Cohere embeddings to efficiently search the Redis vector store for relevant lounge data. This retrieved information is then processed by a Hugging Face Large Language Model, enhanced with conversational memory, to generate precise and helpful answers. Every interaction is conveniently logged to Google Sheets for monitoring and analysis, making it an indispensable tool for travelers or customer service teams.
Key Features
- AI-Powered Information Retrieval: Instantly find details about airport lounges using an intelligent Langchain Agent.
- Custom Knowledge Base (RAG): Utilizes a Redis vector store to provide highly relevant and specific lounge information.
- Flexible LLM Integration: Powered by Hugging Face's Chat models for natural language understanding and generation.
- Conversational Memory: The Agent maintains context for more fluid and engaging interactions.
- Automated Logging: All queries and responses are automatically logged to Google Sheets for tracking and insights.
How To Use
- Set Up Webhook: Configure the 'Webhook' node with your desired HTTP method (POST) and path (
airport_lounge_finder) to trigger the workflow. - Populate Redis Vector Store: Ensure your airport lounge data is processed by the 'Splitter', 'Embeddings', and 'Insert' nodes to populate the 'airport_lounge_finder' index in your Redis instance.
- Configure Credentials: Provide your API credentials for Cohere ('Embeddings' node), Hugging Face ('Chat' node), and Redis ('Insert' and 'Query' nodes).
- Google Sheets Logging: Connect your Google Sheets account to the 'Sheet' node and specify the
documentId(SHEET_ID) andsheetNamefor logging interactions. - Test the Agent: Send a POST request to your webhook URL with a lounge-related query to test the AI Agent's response and logging.
Apps Used
Workflow JSON
{
"id": "4930160f-9113-418c-8afb-b39931b7ae8c",
"name": "AI-Powered Airport Lounge Finder with RAG",
"nodes": 5,
"category": "Operations",
"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: 4930160f-9113...
About the Author
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