RAG Is Burning Money — I Built a Cost Control Layer to Fix It
Towards Data Science4995 字 (约 20 分钟)
92
RAG systems often incur hidden costs due to context over-fetching, lack of caching, and no model routing; the author built a cost control layer using semantic caching (98.5% hit rate), query routing (81% requests shifted to low-cost models), and token-budget circuit breaking, achieving 85.8% cost reduction at 10k requests/day without quality loss.
入选理由：上下文过取使每查询平均多消耗350 tokens，10k请求/日造成$52.5/日浪费（按$0.015/1K tokens计）
FeaturedArticle#RAG#Cost Optimization#Semantic Caching#Model Routing#LLM英文
