This n8n workflow creates an intelligent AI-powered chatbot that responds to incoming chat messages with critical thinking, factual information retrieval, and mathematical computations. It leverages Google Gemini with memory to maintain context, making conversations more coherent and personalized. The process begins with a webhook trigger that receives chat inputs, then passes the message to an AI agent configured with a system prompt guiding its reasoning and tool usage. The agent utilizes various tools such as ‘Think’ for step-by-step reasoning, ‘SerpAPI’ for real-time factual data, ‘Calculator’ for numerical tasks, and ‘Memory’ to remember recent interactions, all working in harmony. Practical use cases include customer support bots, interactive assistants, or data-driven chat solutions requiring memory and external knowledge integration.
AI-Powered Chatbot with Google Gemini and Memory
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatGroq, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolCalculator, @n8n/n8n-nodes-langchain.toolSerpApi, @n8n/n8n-nodes-langchain.toolThink, stickyNote |
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