Kimi K3’s 1M Token Context Window vs. RAG: Cost, Latency and Answer Quality
中文摘要
本文对比了Kimi K3的大上下文窗口与RAG，从成本、延迟及回答质量（准确性、完整性、忠实度）三个维度进行了评估。
English Summary
This study compares Kimi K3’s large context window against RAG, evaluating cost, latency, and answer quality via correctness, completeness, and grounding metrics.
Original Excerpt
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 appeared first on Towards Data Science.