This n8n workflow facilitates the creation of a versatile AI-powered conversational assistant that can be integrated into various platforms such as websites, mobile apps, or messaging services. The workflow begins with a webhook that receives user messages along with a session ID. The message is then processed by an AI agent utilizing Google’s Gemini 2.0 Flash model, which provides fast, context-aware responses. The conversation history is stored in a memory buffer to maintain context for follow-up questions. Finally, the AI generates a structured response, which is sent back through the webhook, enabling seamless communication in real-time. Practical use cases include customer support chatbots, personalized virtual assistants, and interactive FAQ systems, allowing organizations to offer intelligent, natural language interactions across multiple channels.
AI-Powered Conversational Assistant Workflow
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.memoryBufferWindow, respondToWebhook, stickyNote, webhook |
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