Eccentric_rag_2020_remaster

RAG allows models to leverage up-to-date, domain-specific, or private knowledge without retraining, making it highly suitable for fast-changing data environments.

This report provides an overview of the landscape following its introduction in 2020, based on systematic literature reviews published through 2025. 1. Executive Summary: RAG Evolution (2020–2025) eccentric_rag_2020_remaster

The field has moved beyond basic RAG, diversifying into hybrid retrievers, iterative retrieval loops, and graph-based retrieval systems. RAG allows models to leverage up-to-date