A chat assistant for your online store — picks and answers

The scenario answers shoppers in chat: it picks products from your Shopify catalog and answers store questions from your documents — around the clock.

  • Answers shoppers instantly, day and night
  • Picks products straight from your catalog
  • Answers on delivery and policies from your documents
  • Remembers the conversation, like a live salesperson
ChatQdrant Vector StoreEmbeddings OpenAIWooCommerce ToolDefault Data Loader

How it works

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

  1. Starts when: When chat message received
  2. Then: Edit Fields
  3. Then: Information Extractor
  4. Then: AI Agent
  5. Then: Window Buffer Memory
  6. Then: Calculator
  7. Then: OpenAI Chat Model
  8. Then: RAG
  9. Then: Qdrant Vector Store
  10. Then: Embeddings OpenAI
  11. Then: OpenAI Chat Model1
  12. Then: personal_shopper
  13. Then: OpenAI Chat Model2
  14. Then: Google Drive2
  15. Then: Google Drive1
  16. Then: Qdrant Vector Store1
  17. Then: Embeddings OpenAI3
  18. Then: Default Data Loader2
  19. Then: Token Splitter1
  20. Starts when: When clicking ‘Test workflow’
  21. Then: HTTP Request

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