This n8n workflow is designed to automate the processing of messages received in a Slack channel via a webhook. When a new message is posted, the workflow filters out bot messages and triggers an AI-powered analysis while maintaining conversation context. It combines tools such as OpenAI’s GPT-4, Wikipedia, and SerpAPI to generate insightful responses or gather relevant information. The workflow logs the conversation history in memory, ensuring contextual understanding for ongoing interactions, and sends responses back to Slack. It is particularly useful for creating intelligent chatbots that simulate specific personalities, such as Gilfoyle from Silicon Valley, with capabilities for information retrieval and context-aware dialogue.
Automated Slack Message Processing with AI Analysis
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolSerpApi, @n8n/n8n-nodes-langchain.toolWikipedia, if, noOp, slack, stickyNote, webhook |
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