Elevating Retrieval in RAG Systems with LLMs: From Multimodal Parsing to Smart Query Expansion
Large Language Models (LLMs) are transforming Retrieval-Augmented Generation (RAG) systems by enabling advanced data parsing, smarter query preprocessing, and precise reranking. This article explores how leveraging multimodal understanding and hybrid retrieval techniques can drastically improve accuracy and relevance in AI-powered knowledge systems.