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NEUMarktplatz und trig8n Agent: Verkaufen Sie, was Sie bauen, und erhalten Sie Pläne und Änderungen, die getestet sind, bevor Sie sie sehen. Neuigkeiten ansehen

Bibliothek / RAG & Wissensdatenbanken

RAG & Wissensdatenbanken

Einkaufen mit einem OpenAI-Personal-Shopper und WooCommerce

Wenn eine Chat-Nachricht eingeht, durchsucht ein OpenAI-Agent eine Qdrant-Wissensbasis aus Google Drive und WooCommerce-Produkte, um Artikel zu empfehlen.

Was sie bewirkt

# OpenAI Personal Shopper with RAG and WooCommerce ## Overview Automated workflow: OpenAI Personal Shopper with RAG and WooCommerce. This workflow integrates 18 different services: stickyNote, httpRequest, textSplitterTokenSplitter, vectorStoreQdrant, agent. It contains 34 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 34 - Node Types: 18 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - When chat message received: chatTrigger - Window Buffer Memory: memoryBufferWindow - Calculator: toolCalculator - Edit Fields: set - OpenAI Chat Model: lmChatOpenAi - RAG: toolVectorStore - Qdrant Vector Store: vectorStoreQdrant - Embeddings OpenAI: embeddingsOpenAi - OpenAI Chat Model1: lmChatOpenAi - personal_shopper: wooCommerceTool - ... and 24 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

Die Schritte

  1. When chat message received
  2. Window Buffer Memory
  3. Calculator
  4. Edit Fields
  5. OpenAI Chat Model
  6. RAG
  7. Qdrant Vector Store
  8. Embeddings OpenAI
  9. OpenAI Chat Model1
  10. personal_shopper
  11. Information Extractor
  12. OpenAI Chat Model2
  13. Google Drive2
  14. Google Drive1

Insgesamt 38 Schritte.

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