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    2. Vector Database Engines
    3. Tribase — Vector Data Query Engine with Triangle Inequality Pruning

    Tribase — Vector Data Query Engine with Triangle Inequality Pruning

    SIGMOD 2025 paper introducing Tribase, a vector data query engine that uses triangle inequalities for reliable and lossless pruning compression, achieving efficient similarity search without sacrificing accuracy.

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    Information

    Websitearxiv.org
    PublishedApr 4, 2026

    Categories

    1 Item
    Vector Database Engines

    Tags

    3 Items
    #similarity-search#pruning#high-performance

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    Overview

    Tribase is a vector data query engine introduced at SIGMOD 2025 that leverages triangle inequalities for reliable and lossless pruning in similarity search.

    Key Features

    • Uses triangle inequality for pruning distance comparisons
    • Provides lossless pruning guarantees (no accuracy loss)
    • Efficient compression of search space
    • Applicable to various metric spaces

    Publication

    • Venue: SIGMOD 2025
    • Authors: Xu et al.