This n8n workflow is designed to create an intelligent, conversational travel booking assistant that guides users through flight search and booking. It uses a combination of AI language models, memory nodes, and a Google Flights API integration to provide real-time flight options based on user input.

The workflow is triggered via a webhook, allowing users to initiate a conversation through a chat interface. The core component, ‘AI Agent,’ acts as an intelligent travel assistant, collecting essential trip details such as departure and arrival airports, travel dates, and trip type. It interacts with users conversationally, prompting for missing information and confirming details before proceeding.

Once sufficient information is gathered, the workflow leverages the ‘Google_flights search in SerpApi’ node to perform live flight searches using Google Flights data. The results, including the top three flight options with prices, durations, and airlines, are presented to the user in a friendly, summarized format.

If the user opts to book a specific flight, the workflow provides a booking link directly from the search results. This process repeats, allowing the user to explore and book flights seamlessly within a conversational interface.

This workflow is practical for travel agencies, booking platforms, or personal travel assistants looking to automate and enhance user experience with real-time flight search and booking capabilities, all integrated into a conversational chatbot environment.

Node Count	0 – 5 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatDeepSeek, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-serpapi.serpApiTool