RAG Is Dead. Long Live Context Engineering for LLM Systems

Modern LLM context windows have grown large enough that many systems no longer need a full RAG stack. By injecting carefully structured context directly into a single API call — using schema enforcement, metadata injection, and deterministic preprocessing — teams can achieve lower latency, higher determinism, and simpler operations. RAG still makes sense for large, frequently updated corpora or citation-heavy workflows, but for bounded knowledge bases and static documents, direct context engineering often outperforms retrieval pipelines. The post outlines the hidden costs of RAG (embedding drift, re-indexing overhead, chunking inconsistencies, retrieval precision trade-offs) and introduces context engineering as the emerging alternative architecture.