Answers from your own documents — just ask

The scenario loads documents from Microsoft OneDrive into a Qdrant Vector Store base and, for any question, finds the relevant passages and builds an answer from their content.

  • Loads documents from Microsoft OneDrive
  • Builds a search base in Qdrant Vector Store
  • Finds the right passages by meaning
  • Answers from the documents' content
Pinecone Vector StoreEmbeddings OpenAIDefault Data LoaderWebhook
Connect Qdrant Vector Store and goScriptera

How it works

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

  1. Starts when: When clicking ‘Execute workflow’
  2. Then: Google Drive
  3. Then: Google Drive1
  4. Then: Pinecone Vector Store
  5. Then: Embeddings OpenAI
  6. Then: Default Data Loader
  7. Then: Recursive Character Text Splitter
  8. Starts when: When chat message received
  9. Then: AI Agent
  10. Then: OpenAI Chat Model
  11. Then: Simple Memory
  12. Then: Answer questions with a vector store
  13. Then: Pinecone Vector Store1
  14. Then: Embeddings OpenAI1
  15. Then: OpenAI Chat Model1
  16. Starts when: Webhook
  17. Then: AI Agent1
  18. Starts when: Respond to Webhook
  19. Then: OpenAI Chat Model2
  20. Then: Simple Memory1
  21. Then: Answer questions with a vector store1
  22. Then: Pinecone Vector Store2
  23. Then: Embeddings OpenAI2
  24. Then: OpenAI Chat Model3

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

Similar scenarios