AI Travel Planning Agent Powered by Couchbase Vector Search
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Supercharge your travel planning with this n8n workflow, leveraging Couchbase Vector Search, Gemini 2.0 Flash, and OpenAI. Get intelligent recommendations for points of interest based on your unique preferences.
About This Workflow
Unlock the future of personalized travel planning with this advanced n8n workflow. This powerful agent integrates cutting-edge AI models like Google Gemini 2.0 Flash and OpenAI with the robust capabilities of Couchbase Vector Search. By transforming your travel data into searchable vectors, the agent can understand context and provide highly relevant suggestions for destinations and activities. Whether you're seeking romantic getaways or adventurous excursions, this workflow empowers you to build an intelligent travel assistant that learns from your data and delivers tailored experiences. It's designed to efficiently ingest, process, and query vast amounts of travel information, making trip planning more intuitive and engaging than ever before.
Key Features
- Intelligent Travel Recommendations: Get personalized suggestions for points of interest based on your queries.
- Advanced AI Integration: Utilizes Google Gemini 2.0 Flash and OpenAI for sophisticated natural language understanding.
- Couchbase Vector Search: Leverages powerful vector search capabilities for efficient and context-aware data retrieval.
- Streamlined Data Ingestion: Easily load and vectorize your travel data for optimal search performance.
- Customizable Agent Behavior: Configure the AI agent with specific system messages to tailor its responses.
How To Use
- Setup Credentials: Configure API keys for Google Gemini and OpenAI, and database credentials for Couchbase.
- Prepare Couchbase: Create a Couchbase cluster, bucket (
travel-agent), scope (vectors), and collection (points-of-interest). - Import Search Index: Upload the provided JSON search index file to your Couchbase cluster.
- Configure Nodes: Update the Couchbase nodes in the workflow with your specific bucket, scope, collection, and vector index names.
- Load Data: Use the provided
curlcommand or script to send your points of interest data to the active webhook URL. - Query the Agent: Once data is loaded, interact with the AI Travel Agent by sending chat messages to the
chatTriggernode.
Apps Used
Workflow JSON
{
"id": "c12bb3c7-aa67-4892-ba42-47607fc75c76",
"name": "AI Travel Planning Agent Powered by Couchbase Vector Search",
"nodes": 5,
"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: c12bb3c7-aa67...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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