How Rerank Transforms Retrieval‑Augmented Generation for Accurate AI Answers
This article explains the limitations of basic Retrieval‑Augmented Generation (RAG), introduces Rerank technology as a two‑step refinement process, compares dual‑encoder and cross‑encoder methods, and reviews popular Rerank models to help developers build more precise AI‑driven retrieval systems.
