asinghcsu/AgenticRAG-Survey
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
Comprehensive survey covering agentic patterns (reflection, planning, tool use, multi-agent collaboration), taxonomy of RAG architectures (single-agent, multi-agent, hierarchical, corrective, adaptive, graph-based), and comparative analysis with traditional RAG systems. Targets researchers and practitioners implementing Agentic RAG across healthcare, finance, legal, and education domains, addressing challenges in scaling, ethical AI, and multimodal integration.
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Oct 20, 2025
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