This video explains re-ranking techniques used in production Retrieval-Augmented Generation (RAG) systems to enhance the relevance of initial retrieval results. It covers the models and algorithms that refine candidate documents or passages, ensuring more accurate and contextually appropriate outputs in downstream tasks.
Frequently Asked Questions
Re-ranking is the process of refining the order of initially retrieved documents or passages to improve their relevance to the query. It uses more precise models to reassess and reorder candidates for better results.
Production RAG