AI-Powered Business Travel Planning Workflow

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This n8n workflow automates the process of transforming voice messages received via Telegram into detailed, personalized travel itineraries. It starts by retrieving voice messages from Telegram, then uses OpenAI’s speech-to-text capabilities to transcribe the audio into text. Natural language processing with OpenAI and Langchain’s Information Extractor then analyze the transcribed message to extract structured travel details such as origin, destination, dates, and accommodation needs.

Next, the workflow queries APIs like SerpAPI for flight and hotel options based on the extracted information. It consolidates all data, generates a professional travel recommendation using Langchain’s GPT-4 model, and maintains conversation context with a memory buffer. Finally, it sends the customized travel plan back to the user via Telegram.

This setup is ideal for businesses or frequent travelers seeking a hands-free, efficient way to plan trips through simple voice commands. It leverages AI to interpret complex natural language inputs, perform real-time searches, and deliver detailed itineraries seamlessly.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatDeepSeek, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.openAi, aggregate, httpRequest, set, stickyNote, switch, telegram, telegramTrigger

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