Loading…
AgenticRAG is a research resource and survey that explores Agentic Retrieval-Augmented Generation, embedding autonomous AI agents into the RAG pipeline. It outlines foundational principles (reflection, planning, tool use, multi-agent collaboration), a taxonomy of Agentic RAG systems (single-agent, multi-agent, hierarchical, corrective, adaptive, graph-based), and Agentic Workflow Patterns, plus comparative analyses and real-world applications across industries. The repository aims to help researchers and practitioners explore, implement, and advance Agentic RAG systems, including updates to papers and illustrative diagrams.
AI named AgenticRAG from January 2026 to February 2026.