This n8n workflow is designed to enhance chat interactions by integrating real-time web search data from engines like Google, Bing, Yandex, and Bright Data tools. It automates the process of interpreting user queries using Google’s Gemini language model, performs targeted web searches through MCP Client tools, and manages search result retrieval. Additionally, it sends search responses and related notifications via webhooks. This workflow is especially useful for chatbots and AI assistants that need to provide users with up-to-date information sourced directly from the web, ensuring more accurate and contextually relevant responses.
AI-Enhanced Chat Response with Live Web Search Integration
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolHttpRequest, manualTrigger, n8n-nodes-mcp.mcpClient, n8n-nodes-mcp.mcpClientTool, set, stickyNote |
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