Sorting requests: an answer from the base or a PagerDuty ticket

The scenario sorts a request: a simple question is closed with an answer from the Qdrant knowledge base, and a real problem becomes a PagerDuty ticket.

  • AI tells a question from an incident
  • Answers from the Qdrant knowledge base
  • Incidents filed as PagerDuty tickets
  • Your documents loaded into the base once
Qdrant Vector StoreEmbeddings Google GeminiDefault Data Loader
Connect Qdrant and launchScriptera

How it works

To connect PagerDuty and Qdrant, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: When chat message received
  2. Then: Text Classifier
  3. Then: Create an incident
  4. Then: Summarization Chain
  5. Then: HTTP Request
  6. Then: AI Agent
  7. Then: Google Gemini Chat Model
  8. Then: Simple Memory
  9. Then: Google Gemini Chat Model1
  10. Then: Google Gemini Chat Model2
  11. Then: Qdrant Vector Store
  12. Then: Edit Fields
  13. Then: Qdrant Vector Store1
  14. Then: Embeddings Google Gemini
  15. Starts when: When clicking ‘Execute workflow’
  16. Then: Embeddings Google Gemini1
  17. Then: Default Data Loader

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

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