This n8n workflow automates the process of conducting research, analyzing data, generating reports, and communicating insights via Telegram. It integrates various AI models, including OpenAI and LangChain, to facilitate natural language processing, research parsing, and content formatting. Scheduled to run periodically, the workflow begins by retrieving client information from a database, then uses AI agents to gather, analyze, and organize research data. It generates comprehensive reports in HTML and PDF formats, automatically shares results via Telegram, and updates client records accordingly. This workflow is ideal for businesses needing consistent, AI-powered research and reporting to enhance client communication and decision-making processes.
Automated Research and Report Generation Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryPostgresChat, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, code, html, httpRequest, if, n8n-nodes-pdfco.PDFco Api, perplexity, postgres, scheduleTrigger, splitInBatches, stickyNote, supabase, supabaseTool, telegram, telegramTrigger, wait |
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