Join this 58-minute webinar from Anyscale that explores why Retrieval-Augmented Generation (RAG) systems fail when scaled up, focusing on the challenges of managing complex data pipelines. Learn how to overcome common RAG pipeline pitfalls, implement scalable strategies for document processing, apply effective prompting techniques with guardrails and citations, and leverage new tools to enhance both offline and real-time Large Language Model performance. The session includes a practical live demonstration of building a production-ready workflow from document ingestion to embedding using Ray and Anyscale technologies. Designed for AI engineers, architects, and decision makers working on enterprise-grade RAG implementations.