Category: Enterprise RAG

Every day, enterprises deploy retrieval-augmented generation systems with confidence. Their benchmarks look pristine. Their latency metrics pass inspection. Their accuracy scores satisfy stakeholders. Yet somewhere in the quiet corners of their infrastructure, a silent catastrophe unfolds: unauthorized data access through RAG systems that have no concept of permission boundaries. This isn’t a theoretical problem. It’s…

You deployed enterprise RAG six months ago. Performance was excellent at launch. Your retrieval accuracy was 89%, response latency hovered around 400ms, and the leadership team celebrated the rollout. Then, without warning, you noticed something strange: user satisfaction scores dropped 12% last month. Your team investigated the LLM model—no changes. They checked the retrieval infrastructure—no…

Every enterprise RAG deployment faces the same critical question: How do you ensure your retrieval system respects user permissions without sacrificing performance at scale? The stakes couldn’t be higher. A financial services firm builds a sophisticated RAG system to synthesize market data, earnings reports, and regulatory filings. It works perfectly—until a junior analyst accidentally gets…

Last week, I watched a Fortune 500 CTO explain to his board why their $2.4 million RAG investment was delivering negative ROI. The culprit? Vector database costs that scaled “like a freight train hitting a brick wall.” His words, not mine. This isn’t an isolated incident. According to recent internal research, 72% of enterprise RAG…