Build an Airbnb Guest Assistant with RAG and OpenAI Chat
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Automate guest support by building an AI assistant that answers questions using a vector database of property information. This workflow leverages n8n and OpenAI to provide instant, accurate responses to common guest inquiries.
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About This Workflow
Overview
This n8n workflow creates an intelligent Airbnb guest assistant capable of answering frequently asked questions using a Retrieval Augmented Generation (RAG) approach. It starts by receiving chat messages, processes them through an OpenAI Chat Model, and retrieves relevant information from a Pinecone vector database. The workflow also includes functionality to load Google Drive documents into the vector database for training. This solution aims to automate guest communication, provide instant support, and enhance the guest experience by offering accurate, context-aware answers.
Key Features
- AI-powered guest support chatbot using OpenAI.
- Retrieval Augmented Generation (RAG) for context-aware answers.
- Integration with Pinecone vector database for information retrieval.
- Ability to load and process documents from Google Drive into the vector database.
- Customizable system message with specific instructions for tone, term matching, and special responses.
How To Use
- Set up OpenAI and Pinecone Credentials: Ensure you have valid API keys for both OpenAI and Pinecone. Configure these credentials within your n8n account.
- Configure Google Drive Integration: Connect your Google Drive account to n8n and ensure the workflow has access to the desired files.
- Load Property Data into Pinecone: Use the Google Drive nodes to fetch property information documents. Process these documents using text splitters and embeddings, then insert them into your Pinecone index (e.g., 'air12').
- Set up Chat Trigger: Configure the 'When chat message received' node to listen for incoming messages. This will likely involve setting up a webhook.
- Define System Prompt: Customize the 'OpenAI Chat Model' node's system message to define the AI's persona, tone, data sources, and specific response formats for different query types (check-in, check-out, amenities, etc.).
- Test the Chatbot: Send test messages to your webhook endpoint to interact with the AI assistant and verify its responses.
Apps Used
Workflow JSON
{
"id": "4ae05383-5fc3-470e-9d24-156cefc65043",
"name": "Build an Airbnb Guest Assistant with RAG and OpenAI Chat",
"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: 4ae05383-5fc3...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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