refreshed the website benchmarks as of v2 (more on v2 later) warm p50 28ms → 17ms warm p90 37ms → 24ms
turbopuffer
科技、信息和网络
built on top of object storage, which means 10x-100x cheaper, usage-based pricing, and massive scalability
关于我们
- 网站
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https://turbopuffer.com
turbopuffer的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 2-10 人
- 类型
- 私人持股
turbopuffer员工
动态
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what team tpuf shipped in September: ?? SOC 2 Type 2 ?? Blog post on Continuous Recall Measurement ?? 8 MiB attribute value limit (up from 64 KiB) ?? Add copy_from_namespace to create a namespace by copying another namespace (50% discount relative to upserting from scratch) ?? Add uuid type (55% discount from string) and bool type https://lnkd.in/eTVNvKs5
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Our first blog post is out "turbopuffer: fast search on object storage" https://lnkd.in/g3CGHhpK
turbopuffer: fast search on object storage
turbopuffer.com
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A brief summary of what the turbopuffer team shipped in May '24: ?? BM25/Hybrid Search ?? Up to 2x faster filtering for large namespaces (faster zero-copy bitmaps) ?? Up to 2x faster queries on large namespaces with lots of attributes (zero-copy storage) ?? Updated pricing to take attributes into account ?? Typescript client v0.5 with better connection pooling ?? Dashboard and API support for prefix filtering of namespaces ?? Named API Keys ?? Python Client async support with higher throughput See the rest here https://lnkd.in/eTVNvKs5
Roadmap & Changelog
turbopuffer.com
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Learn more about our architecture https://lnkd.in/g278AdCB
Architecture
turbopuffer.com
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Vector search might not seem that hard, but it's hard to make it fast with filters, high recall, and good cold start on object storage... Bojan Serafimov pulled off a monumental effort on the foundational query planner for this ??
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And since we're in the mood for these launch announcements: you can now list Namespaces ????? https://lnkd.in/eX3eZAVg
List namespaces
turbopuffer.com
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but wait, there's more from Bojan Serafimov ... AND and OR filters for attributes?? https://lnkd.in/enPT5BUh
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li'l API ergonomics from the newest member of our team, welcome Bojan Serafimov ??
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turbopuffer转发了
We're excited to launch our *official* vector database integration with... turbopuffer! ?? Any customer can bring their turbopuffer vector database to use with Carbon. Carbon automatically synchronizes content from user data sources (Google Drive, Notion, etc) and embeddings in your turbopuffer vector database. It was a pleasure working with Simon and Justin (fellow Canadians ????) to build out this integration! ??