Agentic RAG Patterns: From Retrieval to Reasoning

The Agentic RAG survey (arXiv) documents how autonomous agents embedded into RAG pipelines use reflection, planning, tool use, and multi-agent collaboration to go beyond single-pass retrieval. Key patterns: iterative refinement (re-query on low-confidence retrieval), cross-agent verification (one agent retrieves, another critiques), and tool-augmented retrieval. Organizations using MCP for data/tool access paired with A2A protocols for multi-agent collaboration are seeing 40–60% faster workflow development than single-protocol approaches.

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Sources: arXiv:2501.09136 · onereach.ai guide