This n8n workflow is an advanced, AI-powered research automation designed to facilitate comprehensive information gathering and report generation. It starts with a user query trigger via a chat message, then leverages large language models (LLMs) to generate multiple targeted search queries. These queries are executed through SerpAPI to retrieve organic search results, which are parsed, formatted, and batched for large-scale processing. Parallel to this, the workflow uses Jina AI to analyze webpage content for deeper insights and Wikipedia information to supplement data sources. Extracted relevant context from various sources is stored in memory buffers, enabling the AI to synthesize a thorough research report in Markdown format. This workflow is ideal for complex research tasks where automated, multi-source data collection, analysis, and detailed reporting are required, such as academic research, market analysis, or competitive intelligence.
AI-Driven Autonomous Research Workflow for Deep Knowledge Gathering
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolWikipedia, code, httpRequest, splitInBatches, stickyNote |
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