LlamaIndex has announced a new collaboration with DeepLearningAI to offer a course titled "Building Agentic RAG," which teaches how to create a research assistant capable of reasoning over multiple documents and integrating human feedback. Recent updates from LlamaIndex include the release of day 0 support for GPT-4o in Python and TypeScript, along with demo notebooks to facilitate experimentation. They have also launched Llama3 cookbooks for various use cases, from chat functionalities to agent development. The latest guides cover building agents in TypeScript and using RAG for content moderation, while tutorials explore advanced applications like extracting elements from complex PDFs with LlamaParse, generating PowerPoint presentations with Llama3, and developing financial agents for stock analysis. Additionally, a tutorial on evaluating RAG systems with tools like TruLens and Ragas focuses on assessing metrics such as faithfulness and relevance.