A controlled comparison of a top-5 RAG pipeline and a full 127,000 token prompt on the same 12 questions, same system prompt and same model. Graded blind on correctness, completeness and grounding.The post [Kimi K3’s 1M Token Context Window vs. RAG: Cost, Latency and Answer Quality](https://towardsdatascience.com/kimi-k3s-1m-token-context-window-vs-rag-cost-latency-and-answer-quality/) appeared first on [Towards Data Science](https://towardsdatascience.com).