A messenger bot that answers clients from your documents

Upload your materials — the scenario answers clients in the messenger from them: it finds the right spot in your documents and gives an accurate answer, not vague words.

  • Builds a knowledge base from your documents in Box
  • Answers clients in WhatsApp Business Cloud from your materials
  • Finds the right spot and answers to the point
  • Works around the clock, no live agent
Qdrant Vector StoreEmbeddings OpenAIDefault Data LoaderWebhook
Connect Postgres PGVector Store and goScriptera

How it works

To connect Postgres PGVector 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: Create collection
  3. Then: Refresh collection
  4. Then: Get folder
  5. Then: Download Files
  6. Then: Qdrant Vector Store
  7. Starts when: Respond to Webhook
  8. Then: AI Agent
  9. Then: Send
  10. Then: OpenAI Chat Model
  11. Then: Embeddings OpenAI
  12. Then: Default Data Loader
  13. Then: Token Splitter
  14. Starts when: Verify
  15. Starts when: Respond
  16. Check: is Message?
  17. If no: Only message
  18. Then: Window Buffer Memory
  19. Then: OpenAI Chat Model1
  20. Then: Retrive Qdrant Vector Store
  21. Then: Embeddings OpenAI2
  22. Then: RAG

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

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