The 80% Problem: Why RAG Systems Collapse in Production and How to Fix Them

Most RAG systems perform flawlessly in controlled demos but fail catastrophically when deployed at scale with real-world data and diverse user queries. This article exposes the five most critical failure modes—from hallucinations on edge cases to stale vector embeddings—and provides battle-tested architectural patterns to prevent each one. Understanding these patterns is essential for any team building production-grade LLM applications that users will actually trust.