Learn how OpenShift AI helps you build AI-enabled applications for product recommendations, semantic product search, and automated product review summarization.

Rhdev is a blog and resource hub dedicated to Ruby on Rails development, a popular web application framework written in Ruby. Developers can explore tutorials, best practices, and case studies for building web applications with Ruby on Rails. Additionally, Rhdev covers topics such as ActiveRecord ORM, RESTful APIs, and frontend integration using JavaScript frameworks, offering insights for both beginners and experienced Rails developers.

Red Hat Developer

OpenShift AI provides an integrated platform for building AI-driven recommender systems that handle product recommendations, semantic search, and review summarization. The platform includes workbenches for model development, inference servers for scalable model serving with continuous batching, Feast feature store for managing training-serving consistency, and Kubeflow Pipelines for orchestrating ML workflows. The article introduces a product recommender quickstart that uses embedding models for text and image search, Llama 3.1 for review summarization, and a custom two-tower model for generating personalized recommendations by creating a shared embedding space for users and products.

Build an AI-driven product recommender with OpenShift AI

Overview of AI technologies that support the recommender