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An Agent-Oriented Pluggable Experience-RAG Skill for Experience-Driven Retrieval Strategy Orchestration

A paper proposing an agent-oriented pluggable retrieval orchestration layer for experience-driven retrieval strategy selection.

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An Agent-Oriented Pluggable Experience-RAG Skill for Experience-Driven Retrieval Strategy Orchestration

By Dutao Zhang, Tian LiaoarXiv
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The authors present Experience-RAG Skill, a layer positioned between the agent and retriever pool. It analyzes the scene, consults an experience memory, selects a retrieval strategy, and returns structured evidence to the agent.

The proposed skill outperforms fixed single-retriever baselines on various tasks.

Abstract

The authors present Experience-RAG Skill, a layer positioned between the agent and retriever pool. It analyzes the scene, consults an experience memory, selects a retrieval strategy, and returns structured evidence to the agent. The proposed skill outperforms fixed single-retriever baselines on various tasks.

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retrieval-augmented generationexperience-driven retrieval strategypluggable experience-rag skillagent-oriented orchestration layerstructured evidenceAI AgentsAgent MemoryRetrieval & RAGLarge Language Models
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