RAG (Retrieval Augmented Generation) has emerged as one of the pillars of intelligent knowledge management. It is what bridges the gap between our LLMs (Large Language Models) and enterprise-specific knowledge. While RAG has become the go-to system for fetching information, it has some significant drawbacks. RAG models struggle when things get complicated: they’re highly limited […]