Answer Staff Questions in Slack with Claude RAG

# Slack AI Chatbot with RAG for company staff ## Overview Automated workflow: Slack AI Chatbot with RAG for company staff. This workflow integrates 15 different services: stickyNote, httpRequest, textSplitterTokenSplitter, vectorStoreQdrant, slackTrigger. It contains 31 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 31 - Node Types: 15 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - AI Agent: agent - Simple Memory: memoryBufferWindow - Embeddings OpenAI1: embeddingsOpenAi - RAG: vectorStoreQdrant - Calculator: toolCalculator - Get message: slackTrigger - Send message: slack - When clicking ‘Test workflow’: manualTrigger - Create collection: httpRequest - Refresh collection: httpRequest - ... and 21 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