
Why Most RAG Pipelines Fail in Production (and How to Fix Them)
Most Retrieval-Augmented Generation (RAG) pipelines look great in demos.They pass test cases, return the right docs, and make stakeholders nod. Then production hits. Wrong context gets pulled. The model hallucinates citations. Latency spikes. And suddenly your “AI search” feature is a support nightmare. I’ve seen this mistake cost a company $4.2M in remediation and lost…