Automated Travel Inquiry Processing and Data Enrichment

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This n8n workflow streamlines the process of handling travel-related queries, gathering relevant data, and providing enriched responses. It starts with a Webhook trigger that receives user input, which is then processed by an AI Agent utilizing Google Vertex Chat for natural language understanding. The workflow integrates multiple tools including MCP client tools for managing client-specific data and actions, and executes flight searches with fare details to gather up-to-date travel information. Data is cleaned and organized through code nodes before being enriched with additional flight and Airbnb listings. The AI Agent uses the language model to generate detailed, personalized responses that are sent back to the user via a ‘Respond to Webhook’ node. Such automation is useful for travel agencies, booking platforms, or chatbots aiming to provide real-time, intelligent travel planning support and recommendations.

Node Count

6 – 10 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleVertex, code, httpRequest, n8n-nodes-mcp.mcpClientTool, respondToWebhook, set, webhook

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