This workflow automates the analysis of your Gmail messages to generate visual knowledge graphs and insightful summaries. It allows users to filter emails based on criteria like labels, keywords, and dates, then retrieves email content—either snippets or full text. Using AI classification and GPT-powered insights, the workflow creates detailed knowledge graphs that highlight main topics, gaps, and relationships, and shares these insights via Telegram. Practical applications include summarizing weekly emails, identifying recurrent themes, discovering gaps in communication, and gaining a visual understanding of email interactions. This workflow is ideal for users seeking to organize and analyze large volumes of email data dynamically and visually for personal or professional knowledge management.
Automated Email Content Analysis and Knowledge Graph Generation
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.textClassifier, aggregate, code, filter, formTrigger, gmail, httpRequest, if, manualTrigger, scheduleTrigger, set, stickyNote, switch, telegram, wait |
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