The post outlines the installation process for the RAG Engine, detailing prerequisites like AKS and GPU provisioning. It guides users through creating an AKS cluster, installing the KAITO Workspace for model inference, and configuring the RAG Engine with a specific model. Finally, it demonstrates indexing documents and querying with RAG Engine.

The Kubernetes AI Toolchaining Operator (AKS) features a RAG engine that enables users to interact with private documents using a hosted language model, like Phi-4. This tool allows for grounded AI responses by indexing and retrieving relevant data. This is an AI platform offering management control and scalability supporting many Gen AI applications.