If you're building a system for multiple customers or teams and need to keep their data isolated, mu...
使用Qdrant和Llama Index构建多租户搜索系统可实现数据隔离与高效扩展,无需管理多个集合。
入选理由:通过单个Qdrant集合实现多租户数据隔离,避免集合碎片化
产品
别名:llama_index
开源向量搜索框架,支持多租户架构
已跟踪 2 条高相关材料
最近变化
2026-07-17 · 通过单个Qdrant集合实现多租户数据隔离,避免集合碎片化
为什么值得关注
Llama Index 被反复提及时,通常意味着它正在影响产品路线、开发者工作流或 AI 产业判断。这个页面把分散材料合并成一个可持续更新的观察入口。
If you're building a system for multiple customers or teams and need to keep their data isolated, mu...
Qdrant(@qdrant_engine) · 8.5 分
使用Qdrant和Llama Index构建多租户搜索系统可实现数据隔离与高效扩展,无需管理多个集合。
As of yesterday, we made everyone within @llama_index research/engineering/product a Member of Techn...
Jerry Liu(@jerryjliu0) · 7.5 分
Jerry Liu announced that everyone in the research, engineering, and product teams at Llama Index has been made a Member of Technical Staff....
已收录 2 条与 Llama Index 相关的内容,按评分排序。
使用Qdrant和Llama Index构建多租户搜索系统可实现数据隔离与高效扩展,无需管理多个集合。
入选理由:通过单个Qdrant集合实现多租户数据隔离,避免集合碎片化
Jerry Liu announced that everyone in the research, engineering, and product teams at Llama Index has been made a Member of Technical Staff. This move reflects the blurring lines between these roles due to the integration of AI and coding agents, leading to a more collaborative and cross-functional work environment.
入选理由:Llama Index has restructured its teams, making all research, engineering, and product members into Members of Technical Staff.