技巧精选
LangChain 介绍智能体检索架构：先用结构化过滤再用小模型并行匹配
精选理由
LangChain 讲了个实用架构：先过滤再让小模型并行筛轨迹，单次不到半秒，做智能体检索的可以照抄这套思路。
LangChain 分享了一种智能体历史轨迹检索的架构设计。检索时先用时间范围等结构化过滤条件缩小候选集。随后用一个小而快的模型逐一检查剩余轨迹是否符合描述，单次检查通常耗时不到半秒。多个检查并行运行，匹配结果边找到边流式返回，无需等待全量扫描完成。
原文 · LangChain
When you search, structured filters like a time range narrow the candidates first. Then a small, fast model checks each remaining trajectory against your description, with many checks running in parallel. Each one usually takes under half second. Matches stream back as they’re found, so you don’t wait for the full scan. 💬 1 🔄 1 ❤️ 2 👀 383 📊 1 ⚡
