About this document

Knowledge-Oriented Retrieval-Augmented Generation Survey by gupeng.nju is a document available to read on EtoBox.

This survey provides a comprehensive overview of Retrieval-Augmented Generation (RAG), which integrates information retrieval with generative models to enhance natural language processing tasks. It discusses the fundamental components of RAG, including retrieval mechanisms, generation processes, and the challenges of aligning retrieved information with generative objectives, while also categorizing RAG methods and reviewing evaluation benchmarks. The paper highlights emerging research directions and applica

Author

gupeng.nju

Language

EN