Answers from your document folder, right in exolve

The scenario collects documents from хранилище into a knowledge base and answers questions in exolve across the whole folder, saving the conversation to Google Cloud Firestore.

  • Answers across the whole folder, not one file
  • Ask right inside exolve
  • New documents are picked up from хранилище
  • Answer history is saved to Google Cloud Firestore
Default Data LoaderQdrant Vector StoreGoogle DriveEmbeddings OpenAI

How it works

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

  1. Starts when: When clicking ‘Test workflow’
  2. Then: Google Folder ID
  3. Then: Find File Ids in Google Drive Folder
  4. Then: File Id List
  5. Check: Merge1
  6. Then: Confirm Qdrant Delete Points
  7. Check: If
  8. If yes: Delete Qdrant Points by File ID
  9. Check: Merge2
  10. Check: Loop Over Items
  11. Then: Send Completed Message
  12. Then: Download File From Google Drive
  13. Then: Get File Contents
  14. Then: Extract Meta Data
  15. Check: Merge
  16. Then: Qdrant Vector Store
  17. Then: Wait
  18. If no: Send Declined Message
  19. Then: Qdrant Collection Name
  20. Then: Data Loader
  21. Then: Token Splitter
  22. Then: Google Gemini Chat Model
  23. Then: text-embeddings-3-large
  24. Then: gpt-4o-mini1
  25. Starts when: Webhook
  26. Then: AI Agent
  27. Then: Update Chat History
  28. Then: Respond to User
  29. Then: Window Buffer Memory
  30. Starts when: When chat message received
  31. Then: Google Gemini Chat Model1
  32. Then: text-embeddings-3-large1
  33. Then: Google Drive
  34. Then: Qdrant Vector Store Tool
  35. Then: OpenAI Chat Model

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