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Hi @pamelafox,
Congratulations for providing such a clear and comprehensive demo with a common use case.
Yet in this common retail scenario, I see little added value over a classic ecommerce search view.
The keywords 'climbing' and 'gear' would match just the same with full text search over title/description.
The price range could be typed by user using one text field max price : 30
While the conversational UI gives this "communication feeling", it is not handy to display dozens of matching products.
I wonder if other use cases would illustrate the unique querying capabilities of OpenAI.
Do you think it could handle geocoordinates, or even postgis ?
This would really change the experience
The text was updated successfully, but these errors were encountered:
I think that'd be quite doable!
If I was going to add that, I would start with a table with lat/lng coordinates. Then when the user asked the question, I'd use the query rewriting step to pull out an address/location string. Then I'd send it to the Bing geocoding API, and use it with the PostGIS operators along with the vector/text search.
I don't know when I'd have time to try it out, but it sounds pretty compelling and doable.
This is encouraging !
Well I had nothing particular in mind, it just seems there are lots of efficients ways to search for products, but few when it comes to combining products & locations.
You could stick to this retail scenario but twist it for a company use-case, for example ; help a salesman find available stock for a product P across dozens of stores.
You could spice it up a bit by linking each stores to multiple stockrooms and split the stockrooms in different categories (remote, damaged, staff sales only). There it would make a lot of sense to ditch the GUI for a chat.
I don't know what is possible with this this sample PostGIS dataset (countries and capital), but I presume if you pin the stores in a few well-known capital the requests could become really valuable, e.g. is there any product P available for staff-sales in New-York or Ottawa ?
Hi @pamelafox,
Congratulations for providing such a clear and comprehensive demo with a common use case.
Yet in this common retail scenario, I see little added value over a classic ecommerce search view.
The keywords 'climbing' and 'gear' would match just the same with full text search over title/description.
The price range could be typed by user using one text field max price : 30
While the conversational UI gives this "communication feeling", it is not handy to display dozens of matching products.
I wonder if other use cases would illustrate the unique querying capabilities of OpenAI.
Do you think it could handle geocoordinates, or even postgis ?
This would really change the experience
The text was updated successfully, but these errors were encountered: