This n8n workflow automates intelligent, context-aware responses to Slack messages by leveraging GPT-5, memory management, and live data retrieval from Google Docs. The workflow begins by listening for mentions or messages in Slack, then processes these inputs through GPT-5, which responds in a friendly, on-brand manner. It maintains conversation context with a memory buffer and pulls the latest project updates from Google Docs using Retrieval-Augmented Generation (RAG). The system replies directly in Slack as the user, making it ideal for managing high message volumes, providing instant accurate responses, and acting as a virtual assistant during busy periods. Key components include Slack triggers, GPT-5 with impersonation capabilities, Google Docs data fetching, and memory management to ensure seamless, real-time communication.
AI-Powered Slack Response System with Google Docs Integration
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, googleDocsTool, slack, slackTrigger, stickyNote |
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