Bin Chen

A Review of Retrieval-Augmented Generation: Architectural Evolution, Key Breakthroughs, and Vertical-Domain Practices

Large language models (LLMs) rely on massive pretraining based on the Transformer architecture and show significant emergent effects in general tasks. However, the nature of their statically parameterized knowledge causes vertical-domain applications to face three core bottlenecks: knowledge hallucination, delayed time...