Tag: dense

In the rapidly evolving landscape of Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) has become the gold standard for grounding AI in proprietary data. However, as organizations transition from proof-of-concept chatbots to mission-critical production systems, the "hallucination problem"—where models confidently present incorrect facts—remains a significant hurdle. A primary culprit is the inherent "lossiness" of […]