Automated Travel Planning Assistant using MongoDB and Google Gemini

• Provide personalized travel recommendations based on user queries.
• Store and retrieve conversation history for enhanced user experience.
• Ingest new travel data points for continuous improvement of recommendations.

Triggers when a chat message is received from users. Processes the message using Google Gemini for language understanding. Retrieves relevant points of interest from MongoDB Atlas vector store. Stores conversation history in MongoDB for future reference. Allows users to ingest new travel data via a webhook.

1. 1
   Import the workflow template into your n8n instance.
2. 2
   Set up your MongoDB Atlas account and connect it to the workflow.
3. 3
   Configure Google Gemini credentials for language processing.
4. 4
   Test the webhook to ensure data ingestion works correctly.
5. 5
   Start interacting with the travel assistant by sending chat messages.