Explore how cloud object storage serves as an optimal foundation for retrieval augmented generation (RAG) systems in AI applications through this 52-minute conference presentation. Learn to leverage unstructured, multi-modal data including PDFs, images, and videos to enhance foundational large language models like GPT-4, Mistral Large, and Llama 2 for context-aware outputs. Discover how cloud object storage functions as an ideal file system for LLM-based applications that transform and utilize domain-specific data while storing user context. Examine the performance characteristics of cloud object storage required for running AI/ML workloads at scale, with practical insights on implementing RAG systems that can handle diverse data types and deliver enhanced AI application performance.