This n8n workflow automates the processing of Electronic Data Interchange (EDI) files related to Sabre travel booking systems, focusing on extracting critical financial and passenger data to generate comprehensive reports. It begins with fetching EDI files stored in Google Drive, downloads and extracts the file content, then leverages OpenAI’s language models and Pinecone vector database for deep data analysis and contextual understanding. The workflow includes modules for generating various financial reports such as Accounts Receivable, Tax and Surcharges, and other operational summaries, providing travel agencies with real-time, automated insights. This is especially useful in environments where rapid processing of complex travel and financial data is needed for compliance, financial accuracy, and operational efficiency.
Automated EDI File Processing and Reporting Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStorePinecone, extractFromFile, googleDrive, manualTrigger, stickyNote |
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