This n8n workflow facilitates real-time interaction between a YouTube-related chatbot and a Discord channel. When triggered via a Webhook, it processes questions from Discord users, utilizing an AI language model (Google Gemini) integrated with memory management to generate contextual responses. The workflow begins with a Webhook node that receives user queries, then leverages a language model node to generate AI-based answers. A memory buffer retains conversational context for more coherent interactions. The response is formatted to meet Discord’s messaging standards and sent back through a dedicated response node. This setup is ideal for automating support, engagement, or information delivery related to YouTube channels or content, enhancing community interaction and reducing manual moderation or response workload.
Automated Discord Response for YouTube Queries
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, code, respondToWebhook, webhook |
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