This advanced n8n workflow automates comprehensive research report creation on a specified topic by integrating multiple sources and tools. Starting with input validation and query refinement, it gathers up-to-date information from news outlets, Wikipedia, scholarly sources, and general web searches using OpenAI GPT models, specialized search nodes, and API requests. The workflow then consolidates this research data, including an introduction, summary, key findings, news highlights, scholarly insights, and a Wikipedia excerpt, into a structured format. It subsequently generates a professional HTML report, converts it into a polished PDF, and executes the distribution by emailing the PDF via Gmail and sharing it through Telegram. The entire process ensures consistent, accurate, and current research documentation suitable for academic, professional, or business purposes.
Automated Research Report Generation with AI and Web Integrations
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.toolHttpRequest, aggregate, code, executeWorkflowTrigger, gmail, googleDrive, googleSheets, httpRequest, if, manualTrigger, splitOut, stickyNote, telegram |
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