Our first blog post is out "turbopuffer: fast search on object storage" https://lnkd.in/g3CGHhpK
turbopuffer
Technology, Information and Internet
built on top of object storage, which means 10x-100x cheaper, usage-based pricing, and massive scalability
About us
- Website
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https://turbopuffer.com
External link for turbopuffer
- Industry
- Technology, Information and Internet
- Company size
- 2-10 employees
- Type
- Privately Held
Employees at turbopuffer
Updates
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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 reposted this
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! 🚀
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I'm faster. Cold latency down 2x 💫 https://lnkd.in/e4-7bSFk
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