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RAG & Knowledge Bases
Voice RAG Chatbot with ElevenLabs, Qdrant and OpenAI Copy
When you run it or a voice request arrives by webhook, it indexes Google Drive files in Qdrant and an OpenAI agent answers questions for ElevenLabs voice.
What it does
# Voice RAG Chatbot with ElevenLabs and OpenAI ## Overview Automated workflow: Voice RAG Chatbot with ElevenLabs and OpenAI. This workflow integrates 15 different services: webhook, stickyNote, httpRequest, textSplitterTokenSplitter, vectorStoreQdrant. It contains 37 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 37 - Node Types: 15 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - AI Agent: agent - Vector Store Tool: toolVectorStore - Qdrant Vector Store: vectorStoreQdrant - Embeddings OpenAI: embeddingsOpenAi - Sticky Note4: stickyNote - Sticky Note: stickyNote - When clicking ‘Test workflow’: manualTrigger - Create collection: httpRequest - Refresh collection: httpRequest - Get folder: googleDrive - ... and 27 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
- AI Agent
- Vector Store Tool
- Qdrant Vector Store
- Embeddings OpenAI
- When clicking ‘Test workflow’
- Create collection
- Refresh collection
- Get folder
- Download Files
- Default Data Loader
- Token Splitter
- Qdrant Vector Store1
- Embeddings OpenAI1
- Respond to ElevenLabs
61 steps in total.
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