Tag: rag-systems

AI Systems

Retrieval-Augmented Generation and the 89% Problem

RAG systems achieving 89% retrieval accuracy mean 1 in 9 queries produce responses built on incorrect context. These errors are harder to detect than hallucination…

AI Systems

Token Budgets and the Illusion of Infinite Context

Large language models operate within fixed context windows, yet most implementations treat these boundaries as infinite. In production systems, retrieval accuracy drops from 89% to…