This n8n workflow creates a sophisticated AI-powered chatbot capable of fetching real-time web content in response to user queries. It starts when a message is received through a webhook trigger, which then activates the ‘Jina.ai Web Scraping Agent.’ This agent interprets the user’s question, possibly involving extracting information from a provided URL, and uses the ‘Jina.ai’ web scraping tool to retrieve live data from the web. The scraped data is stored temporarily in a memory buffer to maintain context. Then, the system employs the ‘gpt-4o-mini’ language model to analyze the gathered information and generate a precise, contextually relevant answer. Additional informational sticky notes in the workflow explain the capabilities of the Jina.ai web scraper and how to use the workflow effectively. This setup is valuable in scenarios such as dynamic customer support, real-time data research, or any situation where up-to-date web content enhances the conversational experience.
AI Chatbot with Real-Time Web Scraping Integration
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolHttpRequest, stickyNote |
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