Forum Discussion
Hi Mohamed!
In order to do semantic search within a Quickbase application, we would be reliant on their product team to support some type of vector database feature. Not really sure if they are tooled to build that type of capability into every customer environment, or what the performance implications would be, but that is their challenge to solve.
I have been able to get this type of thing going for my own Quickbase data, but it was necessary to first replicate the data in an environment that already had support for vector storage and search. I've had some success with xata.io and their Vector Search API.
I've also had some success creating my own ChatGPT app in Quickbase using OpenAI's Chat Completion API. I've uploaded the app to the exchange, but I'm waiting on Quickbase's approval.
Happy to talk more about it anytime if you're interested.
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Justin Torrence
Quickbase Expert, Jaybird Technologies
jtorrence@jaybirdtechnologies.com
https://www.jaybirdtechnologies.com/#community-post
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