Ana Biazetti

Learn how to automate RAG document processing with Red Hat OpenShift AI for production-ready parsing, embedding, and querying of PDF documents.

Learn how to build a distributed RAG pipeline with Ray Data on OpenShift AI for high-performance parsing, embedding, and writing to a vector database.

Learn how to scale document processing with a guided example that combines Docling for structure-aware parsing, Ray Data for distributed streaming execution, and Red Hat OpenShift AI.

Learn how to use Red Hat OpenShift AI's reusable components to build modular AI pipelines, speed up development, and focus on what differentiates your applications.

Learn how to fine-tune AI pipelines in Red Hat OpenShift AI 3.3. Use Kubeflow Trainer and modular components for reproducible, production-grade model tuning.