精选理由
mem0 写了个博客，把向量搜索迁到 Turbopuffer 后延迟从 8-14 秒降到 110ms。做 AI 代理记忆的可以学学。
mem0 通过将向量搜索迁移到 Turbopuffer，把查询延迟从 8-14 秒降到约 110-120 毫秒。这次优化带来 70 倍加速，同时让 Postgres 专注于其擅长的关系型数据存储。mem0 在博客中展示了这套面向 AI 代理记忆基础设施的架构调整。
原文 · mem0
We cut vector search latency by 70x, from 8–14 seconds to ~110–120 ms. The biggest unlock? Moving ve...
We cut vector search latency by 70x, from 8–14 seconds to ~110–120 ms. The biggest unlock? Moving vector search to @turbopuffer and keeping Postgres focused on what it does best. If you're building memory infra for AI agents, this one's for you: mem0.ai/blog/how-we-cu… 💬 1 🔄 4 ❤️ 6 👀 243 📊 3 ⚡