An assistant that answers from the files in your storage

The scenario turns files from your storage into a knowledge base, keeps it up to date and answers questions from those documents.

  • Answers from your documents
  • The base updates in step with storage
  • Adds new, updates changed
  • Ask a question — get an answer from the current version
Embeddings OpenAIDefault Data LoaderQdrant Vector Store

How it works

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

  1. Starts when: When clicking ‘Test workflow’
  2. Then: Clear collection
  3. Then: Get files
  4. Check: Loop Over Items
  5. Then: Download files
  6. Then: Qdrant Vector Store
  7. Then: Wait
  8. Then: Embeddings OpenAI1
  9. Then: Default Data Loader1
  10. Then: Create collection
  11. Then: Recursive Character Text Splitter
  12. Then: Embeddings OpenAI2
  13. Then: Default Data Loader
  14. Then: Recursive Character Text Splitter1
  15. Then: Delete single file
  16. Then: Download file
  17. Then: Update single file
  18. Starts when: When chat message received
  19. Then: Question and Answer Chain
  20. Then: Google Gemini Chat Model
  21. Then: Vector Store Retriever
  22. Then: Qdrant Vector Store1
  23. Then: Embeddings OpenAI
  24. Then: Edit Fields3

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