ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation

ArXi:2605.18769v1 Announce Type: cross Personalized Retrieval-Augmented Generation (RAG) relies on accurately selecting user-relevant documents. In practice, existing RAG approaches often suffer from high retrieval costs and overlook that collaborative signals from similar users can enhance personalized generation for the current user. We propose ClusterRAG, a Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation.