GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation

ArXi:2603.24925v1 Announce Type: new Semantic search in retrieval-augmented generation (RAG) systems is often insufficient for complex information needs, particularly when relevant evidence is scattered across multiple sources. Prior approaches to this problem include agentic retrieval strategies, which expand the semantic search space by generating additional queries. However, these methods do not fully leverage the organizational structure of the data and instead rely on iterative exploration, which can lead to inefficient retrieval.