Eccentric_rag_2020_remaster -

Implementing sophisticated RAG systems introduces significant technical complexity and computational costs.

The field has moved beyond basic RAG, diversifying into hybrid retrievers, iterative retrieval loops, and graph-based retrieval systems. eccentric_rag_2020_remaster

It eliminates the need for expensive, frequent model fine-tuning. diversifying into hybrid retrievers

Research (e.g., TREX) highlights that structuring knowledge as graphs facilitates better retrieval of contextual depth compared to traditional vector-based methods. iterative retrieval loops

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)