Systematic study of schema-guided retrieval for RAG using the intrinsic–relational structure

Conduct a systematic study of schema-guided retrieval that uses the OntoKG intrinsic–relational structure to shape context selection for retrieval-augmented generation and quantify its impact on downstream large language model performance.

Background

The intrinsic–relational schema provides an explicit organization of node attributes and traversable edges, suggesting it could inform retrieval strategies in retrieval-augmented generation by prioritizing context along schema-defined structures.

The authors highlight the need for a rigorous evaluation of how schema-guided context selection affects LLM performance, closing the loop between knowledge graph construction and downstream applications.