turbopuffer enables Legora to search 2B+ legal documents
It provides strict data isolation with CMEK and 10x lower tail latency than Postgres, achieving 98% avg recall@10.
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Vector and full-text search database built on object storage
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In short: turbopuffer secured new financing and expanded its search capabilities, powering major AI platforms like Atlassian Rovo and Notion.
It provides strict data isolation with CMEK and 10x lower tail latency than Postgres, achieving 98% avg recall@10.
This allows blending date and numeric values with BM25 scoring using sigmoid functions, improving recall without overfetching.
The search engine uses object storage with SSD caching for 100x cheaper cold storage and 10ms warm latency.
New block-based inverted indexes achieve up to 10x size reduction, improving query performance and compression efficiency.
Ottawa-based Turbopuffer could be a blueprint for the kind of tech company Canada needs to fulfill its AI ambitions ...
Plus: Cohere exec pledges AI firm will stay Canadian. Former Shopify engineer Simon Hørup Eskildsen really hopes he isn’t leading Canada’s fastest-growing tech company. The...
Ottawa startup secures funding from Lachy Groom and Joshua Kushner’s Thrive Capital. On the back of a big 2025, Ottawa technology startup Turbopuffer has secured...
Use the Turbopuffer MCP Server to enable AI assistants to interact with this API, allowing them to explore endpoints, make test requests, and use documentation...
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