RAGBoost is a groundbreaking system that enhances retrieval-augmented generation (RAG) for large language models, addressing the common issue of performance degradation when handling complex inputs. By achieving high cache reuse without compromising accuracy, RAGBoost represents a significant advancement in AI technology, making it more efficient and reliable for modern applications. This innovation is crucial as it allows developers to create more sophisticated AI solutions that can process longer and more intricate data, ultimately improving user experience and expanding the capabilities of language models.