This workflow creates a sophisticated Slack AI chatbot capable of responding contextually to mentions and direct messages within Slack. It leverages n8n’s automation and integration capabilities to analyze conversations, determine the appropriate reply context, and generate intelligent responses using AI models. The workflow begins with a Slack trigger to detect messages or mentions, then retrieves conversation history, processes the context with an AI agent, and dynamically decides whether to reply publicly or via DM. Key nodes include Slack triggers, memory buffers, language models, and vector store integrations for context-aware interactions, making it ideal for customer support, team assistance, or community moderation. This automation enhances the responsiveness and intelligence of Slack bots, streamlining communication workflows.
Context-Aware Slack AI Chatbot with Dynamic Replying
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolThink, @n8n/n8n-nodes-langchain.vectorStorePinecone, if, set, slack, slackTool, slackTrigger, stickyNote |
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