Two Towers Model: A Custom Pipeline in Vertex AI Using Kubeflow

MLOps is composed by Continuous Integration (CI -- code, unit testing, remerge code), Continuous Delivery (CD -- build, test, release) and Continuous Training (CT -- train, monitor, measure, retrain, serve). Consider the following situation: you develop a solution where you will offer product search for users. There are new users every minute and new products every day. In this situation we will have an index of embeddings containing all the products, and users query will be submitted as numerical vectors to this index, to check for the best results. This index is deployed in a container inside Vertex AI endpoints.