This pattern demonstrates how Red Hat OpenShift AI can be used to build an end-to-end MLOps platform. It demonstrates this using a credit card fraud detection use case.

This patterns deploys a CPU-based LLM, your choice of several RAG DB providers, and a simple chatbot UI which exposes the configuration and results of the RAG queries.

This pattern aids with deployment of OPEA’s Chat QnA RAG application, accelerated with AMD Instinct hardware.

The goal of this demo is to showcase a Chatbot LLM application augmented with data from Red Hat product documentation running on Red Hat OpenShift. It deploys an LLM application that connects to multiple LLM providers such as OpenAI, Hugging Face, and NVIDIA NIM. The application generates a project proposal for a Red Hat product.

This pattern helps you deploy stack enabling Intel Gaudi Accelerator and it also deploys RAG application - Chat QnA

This pattern is a starting point for using Red Hat OpenShift AI.