{"product_id":"n8n-research-chatbot-workflow-gemini-wikipedia-sheets","title":"n8n Research Chatbot Workflow: Gemini + Wikipedia + Sheets","description":"\u003ch3\u003eTurn chat into structured research with n8n + Google Gemini\u003c\/h3\u003e\n\u003cp\u003eThis \u003cstrong\u003en8n Research Chatbot Workflow: Gemini + Wikipedia + Sheets\u003c\/strong\u003e lets users ask questions in an n8n-powered chat, receive Gemini-powered answers with Wikipedia lookups (and arithmetic via a calculator), and automatically \u003cstrong\u003elog each question with a topic label into Google Sheets\u003c\/strong\u003e. Perfect for research assistants, support knowledge discovery, and tracking what people actually ask.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this workflow does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eReceives a user message\u003c\/strong\u003e through the workflow’s built-in chat webhook trigger.\u003c\/li\u003e\n  \u003cli\u003eSends the message to a \u003cstrong\u003eGoogle Gemini agent\u003c\/strong\u003e that can \u003cstrong\u003econsult Wikipedia\u003c\/strong\u003e for factual lookups and use a \u003cstrong\u003eCalculator tool\u003c\/strong\u003e for arithmetic.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eMaintains conversational context\u003c\/strong\u003e using a buffer memory window, so follow-up questions stay coherent.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eStreams the agent’s response\u003c\/strong\u003e back to the chat in plain language.\u003c\/li\u003e\n  \u003cli\u003eIn parallel, uses Google Gemini to generate a \u003cstrong\u003eshort 1–3 word topic label\u003c\/strong\u003e for the question.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eAppends the original question + topic label\u003c\/strong\u003e to a \u003cstrong\u003eGoogle Sheets\u003c\/strong\u003e tab (the “Questions” sheet) for tracking.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSaaS operators\u003c\/strong\u003e who want a lightweight internal “ask-the-facts” assistant for product research and FAQs.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eAutomation engineers\u003c\/strong\u003e prototyping an \u003cstrong\u003en8n automation workflow\u003c\/strong\u003e that combines chat, LLM research, and data logging.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eTeams running knowledge hunts\u003c\/strong\u003e who need a visible audit trail of what questions were asked and how they were categorized.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003en8n chat trigger\u003c\/strong\u003e: receives messages via the workflow’s public chat URL.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eGoogle Gemini (PaLM) API credentials\u003c\/strong\u003e: used both for the research agent and for topic-tagging.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eWikipedia tool\u003c\/strong\u003e: enables factual lookups during the Gemini agent run.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCalculator tool\u003c\/strong\u003e: supports arithmetic as part of answers.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eGoogle Sheets (OAuth2)\u003c\/strong\u003e: logs the question and the generated 1–3 word topic label into the “Questions” sheet.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eSet it up in minutes, share the chat URL, and start collecting structured research requests automatically.\u003c\/p\u003e","brand":"N8N Commerce","offers":[{"title":"Default Title","offer_id":45738637852851,"sku":"N8N-17516","price":63.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0749\/6279\/6723\/files\/a8r3LGk7HM28vS114J5l6_KZS4TuMZ.png?v=1785230498","url":"https:\/\/buyflowscripts.com\/products\/n8n-research-chatbot-workflow-gemini-wikipedia-sheets","provider":"N8N Commerce","version":"1.0","type":"link"}