• Home
  • Categories
  • Pricing
  • Submit
    Built with
    Ever Works
    Ever Works

    Connect with us

    Stay Updated

    Get the latest updates and exclusive content delivered to your inbox.

    Product

    • Categories
    • Pricing
    • Help

    Clients

    • Sign In
    • Register
    • Forgot password?

    Company

    • About Us
    • Admin
    • Sitemap

    Resources

    • Blog
    • Submit
    • API Documentation
    All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this repository, related repositories, and associated websites are for identification purposes only. The use of these names, logos, and brands does not imply endorsement, affiliation, or sponsorship. This directory may include content generated by artificial intelligence.
    Copyright © 2025 Awesome Vector Databases. All rights reserved.·Terms of Service·Privacy Policy·Cookies
    Decorative pattern
    Decorative pattern
    1. Home
    2. Research Papers & Surveys
    3. AdaptiveIndex — Adaptive Indexing in High-Dimensional Metric Spaces

    AdaptiveIndex — Adaptive Indexing in High-Dimensional Metric Spaces

    VLDB 2023 paper introducing an adaptive indexing approach for high-dimensional metric spaces that dynamically adjusts its structure based on query workloads to improve search performance over time.

    Overview

    AdaptiveIndex proposes a self-adjusting index for high-dimensional metric spaces that evolves based on query workload patterns.

    Key Contributions

    • Adaptive index structure that learns from queries
    • Dynamic restructuring for workload optimization
    • Improved performance over static indexes
    • Published in VLDB 2023

    Publication

    • Venue: VLDB 2023
    • Authors: Lampropoulos et al.
    Surveys

    Loading more......

    Information

    Websitewww.vldb.org
    PublishedApr 4, 2026

    Categories

    1 Item
    Research Papers & Surveys

    Tags

    3 Items
    #adaptive-index#metric-spaces#dynamic

    Similar Products

    6 result(s)

    DIMS — Distributed Index for Similarity Search in Metric Spaces

    TKDE 2024 paper presenting DIMS, a distributed indexing method for efficient similarity search across metric spaces. The approach enables parallel processing of vector similarity queries at scale.

    NMSLIB

    A library for efficient similarity search and creation of nearest neighbor indices in metric spaces, implementing HNSW, SW-graph, and other ANN algorithms, widely used as a backend for vector search engines.

    MUVERA

    Multi-Vector Retrieval Algorithm that reduces multi-vector similarity search to single-vector similarity search via Fixed Dimensional Encodings. Achieves 10% improved recall with 90% lower latency compared to existing approaches.

    Featured

    CommVQ

    A commutative vector quantization method for KV cache compression that reduces FP16 cache size by 87.5% with 2-bit quantization and enables 1-bit quantization, allowing LLaMA-3.1 8B to run with 128K context on a single RTX 4090 GPU.

    Featured

    Accelerating ANNS in Hierarchical Graphs via Shortcuts

    VLDB 2025 paper proposing efficient level navigation with shortcuts for accelerating approximate nearest neighbor search in hierarchical graph indexes, improving traversal speed across multi-layer graph structures.

    Accelerating Graph-based ANNS with Adaptive Awareness

    SIGKDD 2025 paper proposing adaptive awareness capabilities for graph-based approximate nearest neighbor search, enabling the search algorithm to dynamically adjust its strategy based on local graph characteristics and query properties.