Email Automation
AI Email Auto-Responder with DeepSeek, Qdrant and IMAP
When a new email arrives over IMAP, it classifies and summarizes it, finds answers in a Qdrant knowledge base with DeepSeek and OpenAI, and sends a reply.
What it does
# Email AI Auto-responder. Summerize and send email ## Overview Automated workflow: Email AI Auto-responder. Summerize and send email. This workflow integrates 18 different services: textClassifier, stickyNote, markdown, httpRequest, textSplitterTokenSplitter. It contains 40 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 40 - Node Types: 18 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - Email Trigger (IMAP): emailReadImap - Markdown: markdown - DeepSeek R1: lmChatOpenAi - Send Email: emailSend - Qdrant Vector Store: vectorStoreQdrant - Embeddings OpenAI: embeddingsOpenAi - Email Classifier: textClassifier - Email Summarization Chain: chainSummarization - Write email: agent - Review email: chainLlm - ... and 30 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible
The steps
- Email Trigger (IMAP)
- Markdown
- DeepSeek R1
- Send Email
- Qdrant Vector Store
- Embeddings OpenAI
- Email Classifier
- Email Summarization Chain
- Write email
- Review email
- When clicking ‘Test workflow’
- Create collection
- Refresh collection
- Get folder
66 steps in total.
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