Business-WhatsApp-RAG-Chatbot mit OpenAI und Qdrant (Kopie)

# Business WhatsApp AI RAG Chatbot ## Overview Automated workflow: Business WhatsApp AI RAG Chatbot. This workflow integrates 17 different services: webhook, stickyNote, httpRequest, textSplitterTokenSplitter, vectorStoreQdrant. It contains 44 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 44 - Node Types: 17 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - Respond to Webhook: respondToWebhook - AI Agent: agent - Sticky Note: stickyNote - OpenAI Chat Model: lmChatOpenAi - When clicking ‘Test workflow’: manualTrigger - Qdrant Vector Store: vectorStoreQdrant - Create collection: httpRequest - Refresh collection: httpRequest - Get folder: googleDrive - Download Files: googleDrive - ... and 34 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