The Fundamental Problem with LLMs in the Enterprise: The primary hurdle for Large Language Models (LLMs) in a corporate environment isn’t the intelligence of the model itself,it is the context, security, and accessibility of the data it consumes. Most organizations face a "Data Silo Crisis." Critical knowledge is fragmented across various Document Management Systems (DMS), cloud storage providers, and legacy file servers. When teams attempt to build Retrieval-Augmented Generation (RAG) systems over this landscape, they encounter three "Production-Killers": 1. Context Loss: LLMs cannot "see"…