A customer assistant: answers, books and checks orders

The assistant answers customers from your documents, books them into your calendar and checks order status — in chat, by voice and by phone, around the clock.

  • Answers customer questions from your own documents
  • Books customers straight into your calendar
  • Checks order status on request
  • Works around the clock in chat, by voice and by phone
WebhookQdrant Vector StoreEmbeddings OpenAIDefault Data Loader
Connect your services and launchScriptera

How it works

To connect Iterable and Postgres PGVector Store, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: n8n_order
  2. Then: API URL Tracking
  3. Then: Tracking response
  4. Starts when: Webhook tracking response
  5. Then: Google Calendar
  6. Then: Calendar response
  7. Starts when: Webhook calendar response
  8. Then: OpenAI Chat Model3
  9. Then: Concert start date
  10. Starts when: n8n_appointment
  11. Then: Retrive Qdrant Vector Store
  12. Then: Embeddings OpenAI2
  13. Then: RAG
  14. Then: OpenAI Chat Model2
  15. Then: OpenAI Chat Model1
  16. Then: Retrive Agent
  17. Starts when: Webhook RAG response
  18. Starts when: n8n_rag
  19. Then: Structured Output Parser
  20. Starts when: When clicking ‘Test workflow’
  21. Then: Create collection
  22. Then: Refresh collection
  23. Then: Get folder
  24. Then: Download Files
  25. Then: Qdrant Vector Store
  26. Then: Embeddings OpenAI
  27. Then: Default Data Loader
  28. Then: Token Splitter

You can launch this Iterable + Postgres PGVector Store integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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