[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f7uPessinO3RSgIsFKSr120gW-lG3mg79lcovFxp27JM":3},[4,15],{"slug":5,"title":6,"description":7,"pub_date":8,"tags":9,"draft":14},"rag-system-design","RAG 系统设计：从 naive 到 production-ready","Retrieval-Augmented Generation 不只是「向量数据库 + LLM」，分块策略、召回质量、重排序、缓存才是工程核心。","2026-05-03",[10,11,12,13],"ai","rag","llm","工程实践",false,{"slug":16,"title":17,"description":18,"pub_date":19,"tags":20,"draft":14},"ai-agent-memory","AI Agent 的记忆系统：从上下文窗口到长期记忆","深入拆解 AI Agent 的四种记忆类型、上下文窗口压缩策略、RAG 向量检索原理，以及三种典型失败模式和工程选型建议。","2026-04-30",[10,21,11],"agent"]