Intelligent Travel Planning Agent with Vector Search
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Automate your travel planning with this AI-powered agent. Leverage Couchbase Vector Search, Google Gemini Flash, and OpenAI to discover personalized travel recommendations based on your preferences and a rich knowledge base.
About This Workflow
Unlock seamless travel planning with our intelligent agent, meticulously crafted using n8n and powered by cutting-edge AI. This workflow harnesses the combined might of Couchbase Vector Search for efficient retrieval of travel points of interest, Google Gemini 2.0 Flash for intelligent natural language understanding, and OpenAI for robust embedding capabilities. It transforms your raw travel data into actionable recommendations, ensuring you always find the perfect destination or activity. From understanding user queries to fetching relevant information from your vectorized database, this agent streamlines the entire discovery process, making travel planning intuitive and personalized.
Key Features
- AI-Powered Recommendations: Get tailored travel suggestions powered by Gemini and OpenAI.
- Vector Search Integration: Efficiently retrieve points of interest from your Couchbase database using vector embeddings.
- Automated Data Ingestion: Easily load and vectorize your travel data for immediate use.
- Conversational Interface: Interact with the agent using natural language queries.
- Extensible Knowledge Base: Build a rich repository of travel information within Couchbase.
How To Use
- Set Up Credentials: Obtain and configure Google API credentials for Gemini and OpenAI API keys.
- Couchbase Setup: Create a Couchbase cluster (e.g., Couchbase Capella) and establish database credentials with appropriate permissions.
- Configure Network: Ensure your n8n instance has
0.0.0.0/0configured in Couchbase's allowed IP addresses for testing. - Create Database Structures: Set up a
travel-agentbucket, avectorsscope, and apoints-of-interestcollection. - Import Search Index: Upload the provided JSON search index file into Couchbase's Data Tools.
- Load Data: Use the provided
curlcommand or shell script to ingest initial travel data points into the active webhook. - Query the Agent: Once data is loaded, send chat messages to the
chatTriggernode with your travel planning queries.
Apps Used
Workflow JSON
{
"id": "ed473712-5629-4bc6-86c4-7532a10abf11",
"name": "Intelligent Travel Planning Agent with Vector Search",
"nodes": 24,
"category": "Marketing",
"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: ed473712-5629...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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