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

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

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

How it works

To connect ServiceNow and Postgres PGVector Store, 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 ServiceNow + 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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