Retrieval strategy selection can be packaged as a reusable agent skill that learns from experience, rather than hard-coded into workflows, enabling better performance across diverse question types without changing the underlying retrievers.
This paper presents Experience-RAG Skill, a smart retrieval orchestration layer that learns which retrieval strategy works best for different types of questions.