Advanced RAG: Enhancing Model Efficiency and Accuracy
Understand how to enhance the accuracy and efficiency of retrieval-augmented generation by mastering pre-retrieval optimizations like indexing and query refinement, as well as post-retrieval techniques such as reranking and context compression. This lesson equips you with practical skills to improve information retrieval and integration for better model responses.
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 ...