This repository accompanies a survey paper on Agentic RAG, providing taxonomy, frameworks, and visualizations for advanced RAG systems enhanced with AI agents. It covers foundational principles like reflection, planning, tool use, and multi-agent collaboration within RAG pipelines, alongside detailed system architectures including single-agent, multi-agent, hierarchical, corrective, adaptive, and graph-based approaches.