This n8n workflow automates the process of managing and responding to business emails using AI. It begins with an IMAP trigger that reads incoming emails and converts the content into Markdown for better AI comprehension. The email is summarized with a chain summarization model, then classified into relevant categories such as general information requests. Based on the classification, the workflow generates a professional response using OpenAI’s language models, reviews and formats the reply for clarity, and finally sends the email back to the sender. Additionally, it includes a module for managing vectorized knowledge base documents stored in Qdrant, enabling context-aware responses. This workflow is ideal for automating customer service, inquiry handling, and knowledge management in a business setting.
AI-Powered Email Response Automation Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textClassifier, @n8n/n8n-nodes-langchain.textSplitterTokenSplitter, @n8n/n8n-nodes-langchain.vectorStoreQdrant, emailReadImap, emailSend, googleDrive, httpRequest, manualTrigger, markdown, noOp, stickyNote |
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