Advanced RAG 04: Re-ranking

From Principles to Two Mainstream Implementation Methods

Re-ranking plays a crucial role in the Retrieval Augmented Generation (RAG) process. In a naive RAG approach, a large number of contexts may be retrieved, but not all of them are necessarily relevant to the question. Re-ranking allows for the reordering and filtering of documents, placing the relevant ones at the forefront, thereby enhancing the effectiveness of RAG.

This article introduces RAG’s re-ranking technique and demonstrates how to incorporate re-ranking…