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Updated 7 months ago

META or Product Catalog

At a glance

The community members are discussing the possibility of integrating META catalog or product recommendation into a Typebot flow. One community member suggests using AI-powered tools like Dify, Flowise, Make, or n8n to build the product recommendation logic, as it can handle larger inventories better than if-else logic. Another community member, who is new to Typebot and chatbot building, requests suggestions for videos or documentation to learn more. The community members agree that for larger inventories, an AI-based solution like a RAG system with Dify or Flowise would be more suitable than if-else logic.

Hi, Has anyone tried integrating META catalog or product recommendation in typebot flow? Is that even possible?
Like when a user send a query about specific product typebot process and provides recommendation according to it by fetching the listing from META Catalog/ Wordpress/ Shopify product listing.
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4 comments
If you talk about query that user asking, the better option is to build it with AI with tools integration so you can make docs about the API payload to produce your products logic as message and its need 3rd party apps like dify, flowise, Make or n8n, but for basic product suggestion you can build flow with http request block on typebot with if else logic
Thanks for the detailed information. Unfortunately, I am very new to typebot and chatbot building. Could you suggest any video/doc that I can check to understand more?
If else logic can be good for small inventories but for the larger inventories (20+) it can be very difficult to manage the flows.
yeah your case just will work with AI on chatbot, you can start searching like RAG system with dify or flowise to know about it
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