Phone assistant: answers calls and books your clients

A voice assistant takes calls, answers questions from your documents, books clients into your calendar and sends a summary of every conversation to your messenger.

  • Answers calls by voice — around the clock
  • Answers from your documents in Google Drive
  • Books the client into Iterable
  • Sends a summary of each call to Telegram
WebhookQdrant Vector StoreEmbeddings OpenAI
Connect Postgres PGVector Store and launchScriptera

How it works

To connect Postgres PGVector Store and Telegram, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: n8n_rag_function
  2. Then: Retrive Agent
  3. Starts when: Respond to Webhook
  4. Check: Filter
  5. Then: Set call fields
  6. Then: Extract key points
  7. Then: Telegram
  8. Then: OpenAI Chat Model
  9. Then: Structured Output Parser
  10. Then: Retrive Qdrant Vector Store
  11. Then: Embeddings OpenAI2
  12. Then: RAG
  13. Then: OpenAI Chat Model2
  14. Then: OpenAI Chat Model1
  15. Then: Google Calendar
  16. Then: OpenAI Chat Model3
  17. Then: Structured Output Parser1
  18. Starts when: n8n_call
  19. Starts when: n8n_check_available
  20. Then: Concert start date
  21. Starts when: When clicking ‘Test workflow’
  22. Then: Create collection
  23. Then: Refresh collection
  24. Then: Get folder
  25. Then: Download Files
  26. Then: Qdrant Vector Store
  27. Then: Embeddings OpenAI
  28. Then: Default Data Loader
  29. Then: Token Splitter

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

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