Weaviate 发布 Engram 记忆配置指南：四个关键决策
Your agent remembers. But does it remember well? Getting memory running takes a few API calls. Maki...
Weaviate 写的 Engram 记忆调优指南，讲了记忆该存什么、怎么检索、放提示词哪里，还教你怎么不弄坏 prompt 缓存，做智能体的可以照着调。
Weaviate 发布了一份关于 Engram 记忆系统的配置指南，梳理了四个影响记忆效果的关键决策：哪些内容被记住、记忆如何划分作用域和更新、用哪种检索模式读回记忆、记忆放在提示词的哪个位置。指南用真实输出和测试运行展示了每项调整带来的差异，包括过滤无关噪音、避免动态记忆破坏提示词缓存等具体问题。文章主体是使用方法与经验分享，而非产品新功能发布。
Your agent remembers. But does it remember well? Getting memory running takes a few API calls. Maki...
Your agent remembers. But does it remember well? Getting memory running takes a few API calls. Making sure it remembers the right things takes a little more thought. Our new guide walks through four decisions that shape how Engram works in your setup: • what gets remembered • how memories are scoped and updated • which retrieval mode to read them back • where they belong in the prompt It uses real outputs and test runs to show what changes when you adjust each one, from filtering out passing noise to keeping dynamic memory from breaking prompt caching. Read the full guide: weaviate.io/blog/engram-me… 💬 1 🔄 0 ❤️ 1 👀 137 📊 1 ⚡