UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG
ULTRAG is a general framework for retrieving information from Knowledge Graphs by using off-the-shelf neural query executors instead of relying solely on Large Language Models to build queries. It solves problems where LLMs struggle with complex graph reasoning and symbolic systems fail on incomplete knowledge. The method iteratively refines queries using entity linking and a neural executor to find accurate answers.