Advanced RAG: Enhancing Model Efficiency and Accuracy

While naive RAG provides a foundation for using LLMs with document retrieval, it has limitations. For instance, the retrieval accuracy might not be perfect, potentially leading to irrelevant information being used as context. Additionally, the LLM might struggle to integrate retrieved information seamlessly, resulting in disjointed responses. In this lesson, ...