What Is Semantic Caching, and Where It Quietly Breaks
中文摘要
语义缓存能降低LLM成本与延迟，但仅凭相似性检索可能导致数据过时、隐私泄露或答案错误。
English Summary
Semantic caching lowers LLM cost and latency, but relying solely on similarity can cause stale, incorrect, or insecure responses.
原文节选
Semantic caching can cut LLM cost and latency, but similarity alone can serve stale, cross-tenant, or dangerously wrong answers. Continue reading on Medium »