aps-rag-ada71800·1 events·first seen Aliases: APS-RAG
Researchers present APS-RAG, a deployed retrieval-augmented generation platform for the Advanced Photon Source (APS) scientific facility that fuses dense, sparse, and knowledge-graph retrieval channels with a corrective agentic loop and a ReAct executor over an MCP tooling layer. The system is evaluated on APS-Bench, a new 50-question QA dataset with auditable gold answers, where the full corrective Agentic GraphRAG achieves 70.3% strict vital-nugget recall versus 63.8% for a BM25 baseline. The cross-encoder reranker is identified as the most impactful component, with its removal causing a 32.8% drop in recall. The codebase, evaluation harness, and benchmark construction methodology are released to support adoption at other scientific facilities.