IndexRAG: Index-Time Reasoning for Multi-Hop Retrieval-Augmented Generation
IndexRAG shifts cross-document reasoning from online inference to offline indexing. It works by first extracting atomic knowledge units and then generating 'bridging facts' that link related evidence across documents. This allows for a single retrieval pass and one LLM call during inference, improving performance on multi-hop questions.