Documents from storage — into a base for AI search

The scenario takes new files from Microsoft OneDrive, extracts the text and stores it in Qdrant Vector Store for AI-powered answer search.

  • Files become a base an AI can search
  • Text from PDF, plain text and data — automatically
  • New files processed on schedule
  • Processed ones aren't picked up twice
Default Data LoaderPostgres PGVector StoreEmbeddings OpenAI
Connect Microsoft OneDrive and startScriptera

How it works

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

  1. Starts when: When clicking ‘Test workflow’
  2. Then: Search Folder
  3. Check: Loop Over Items
  4. Then: Download File
  5. Check: Switch
  6. If yes: Extract from PDF
  7. Then: Postgres PGVector Store
  8. Then: Move File
  9. If no: Extract from Text
  10. If no: Extract from JSON
  11. Then: Default Data Loader
  12. Then: Recursive Character Text Splitter
  13. Starts when: Schedule Trigger
  14. Then: Embeddings OpenAI

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

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