Building search systems is hard. Preparing them to work with machine learning is really hard. Developing a complete search engine framework integrated with AI is really really hard.
So let’s make one.
In this post, we’ll build a search engine from scratch and discuss on how to further optimize results by adding a machine learning layer using Kubeflow and Katib. This new layer will be capable of retrieving results considering the context of users and is the main focus of this article.
As we’ll see, thanks to Kubeflow and Katib, final result is rather quite simple, efficient and easy to maint