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vector and full-text search built on object storage: fast, 10x cheaper, and extremely scalable
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命名空间分支功能:即时克隆与独立读写

turbopuffer 推出 Namespace Branching 功能,通过 branch_from 实现命名空间的即时克隆,基于 copy-on-write 机制,克隆时间与命名空间大小无关。分支完全独立,支持多级分支链,无子分支数量限制。每次分支费用固定 0.032 美元,存储按逻辑字节计费。适用场景包括代码库索引、测试流水线、开发环境隔离和快照查询。
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Rust zero-cost abstractions vs. SIMD

A customer query was taking over 4× longer than it should have. The profiler pointed at Rust code we'd assumed was free. We followed the trail all the way down to assembly to find the true cost.
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Turbopuffer: Continuous Recall Measurement

Describing how turbopuffer measures the recall (accuracy) of its vector indexes in production continuously. This ensures that turbopuffer's search results are accurate and reliable, despite using appr...
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Turbopuffer: Fast search on object storage

Inaugural blog post about the development of turbopuffer, a search engine that uses object storage and SSD caching for cost-effective, low latency search. This post describes into the motivation behin...
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