Validated Patterns
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 is based on a demo implementation of an automated data pipeline for chest X-ray analysis previously developed by Red Hat.