Enhancing Retrieval-Augmented Generation with Entity Linking for Educational Platforms

ArXi:2512.05967v2 Announce Type: replace-cross In the era of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures are gaining significant attention for their ability to ground language generation in reliable knowledge sources. Despite their effectiveness, RAG systems based solely on semantic similarity often fail to ensure factual accuracy in specialized domains, where terminological ambiguity can affect retrieval relevance.