This n8n workflow streamlines the ingestion, analysis, and storage of documents received via email or webhook. It primarily focuses on extracting data from various file formats using LlamaParse, classifying content, and generating summaries. The process begins with monitoring Gmail for new messages or accepting files through a webhook, then validating and uploading attachments to LlamaParse for advanced text extraction. Extracted data is classified to identify document types such as invoices or reports, and key details are parsed into structured JSON. Summaries of emails and documents are created using AI models like GPT-4, and all information—including original files, summaries, and extracted data—is stored in Google Drive and Google Sheets for easy reference. Notifications about the process are sent via Telegram. This workflow is ideal for automating document management, financial record keeping, or invoice processing, saving time and reducing manual effort.
Automated Document Processing and Summary Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textClassifier, aggregate, gmail, gmailTrigger, googleDrive, googleSheets, httpRequest, if, limit, merge, noOp, set, stickyNote, telegram, webhook |
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