Smart Slack AI Chatbot: Context-Aware Replies for DMs and Mentions
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Automate intelligent responses in Slack with this n8n workflow. It powers a context-aware AI chatbot that seamlessly replies to both direct messages and public channel mentions, enhancing team communication and information access.
About This Workflow
This robust n8n workflow transforms your Slack workspace into a hub of intelligent interaction. Designed to deploy a context-aware AI chatbot, it listens for direct messages and mentions, then crafts informed responses using an AI Agent powered by OpenAI Chat Models and Simple Memory for conversational continuity. By integrating the Get the history of a channel in Slack tool, the bot can understand past conversations, providing more relevant and helpful answers. Conditional logic ensures replies are routed correctly, either privately in a DM or publicly in a channel. While currently disabled, the inclusion of Pinecone Vector Store and OpenAI Embeddings nodes signals readiness for future integration with knowledge bases, making this a highly extensible solution for internal Q&A, support, or general team assistance.
Key Features
- Dual Response Channels: Automatically replies to both direct messages and public channel mentions in Slack.
- Context-Aware Conversations: Utilizes
Simple Memoryto maintain conversational context, leading to more natural and relevant interactions. - Intelligent Information Retrieval: Leverages the
Get the history of a channel in Slacktool to understand past discussions and provide informed answers. - Powered by Advanced AI: Integrates seamlessly with
OpenAI Chat Modelsvia Langchain for sophisticated language understanding and generation. - Extensible Architecture: Pre-configured (though disabled) nodes for
Pinecone Vector StoreandOpenAI Embeddingsoffer future potential for Retrieval Augmented Generation (RAG) capabilities.
How To Use
- Set up Slack Trigger: Configure the
Slack Triggernode to listen for mentions (app_mention) and direct messages (message.im). - Provide Credentials: Ensure your
OpenAI Chat ModelandSlacknodes have the necessary API keys and access tokens configured. - Review Data Mapping: Adjust the
Mapping data for the Agentnode to properly extract user queries and context from Slack events. - Configure AI Agent: Connect your
OpenAI Chat ModelandSimple Memoryto theAI Agent1node. Configure tools likeGet the history of a channel in Slackas needed. - Test Response Logic: The
Either the bot should reply in dm or in public channelnode uses conditional logic. Verify it correctly routes replies based on whether the original message was a DM or a mention. - Customize Replies: Adjust the
Reply to DMandReply to public mentionSlack nodes to format the bot's responses as desired.
Apps Used
Workflow JSON
{
"id": "e60bfbce-1544-4b12-b94d-7b1c6af3f0bc",
"name": "Smart Slack AI Chatbot: Context-Aware Replies for DMs and Mentions",
"nodes": 25,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: e60bfbce-1544...
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