Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis
Agentic Hybrid RAG improves scientific question answering in muon collider research by combining a hybrid retriever with agentic reasoning. The system decomposes complex queries into subqueries, uses both keyword and semantic search for robust retrieval, and then synthesizes an evidence-grounded answer. This method significantly boosts retrieval effectiveness and answer quality compared to standard methods.