Tag: JEV

Enterprise retrieval-augmented generation (RAG) systems frequently fail not in their ability to generate prose, but in their capacity to triage context under strict operational constraints. In high-concurrency production environments, the traditional two-stage RAG setup—dense vector retrieval followed directly by autoregressive LLM synthesis or heavy cross-encoder reranking—introduces severe latency bottlenecks, unpredictable cost variance, and context window…