Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking

Shengbo Gong, Xianfeng Tang, Qi He +2

Retrieval-augmented generation (RAG) is critical for reducing hallucinations and incorporating external knowledge into Large Language Models (LLMs). However, advanced RAG systems f…