Explore Agentic Retrieval Augmented Generation (Agentic RAG) in this 30-minute tutorial that demonstrates building an end-to-end pipeline using NVIDIA's NeMo Retriever. Begin by understanding the motivation behind Agentic RAG and its theoretical foundations before diving into practical implementation. Learn why NVIDIA's NeMo Retriever serves as the core model, having achieved top rankings across ViDoRe V1, ViDoRe V2, and MTEB VisualDocumentRetrieval benchmarks. Follow along with hands-on coding to construct the complete Agentic RAG system, starting with implementation overview and progressing through detailed development. Conclude by integrating all components into an end-to-end graph using LangGraph, gaining practical experience with this advanced retrieval-augmented generation approach that enhances traditional RAG systems with agentic capabilities.