DiskANN

DiskANN is a graph-based approximate nearest neighbor search (ANNS) system optimized for fast and accurate billion-point nearest neighbor search on a single node, leveraging SSD storage. It is highly relevant for large-scale vector database applications requiring efficient vector search at scale.

About this tool

DiskANN

  • Description: DiskANN is a graph-based approximate nearest neighbor search (ANNS) system designed for fast and accurate billion-point nearest neighbor search on a single node, utilizing SSD storage. It is suitable for large-scale vector database applications that require efficient and scalable vector search.
  • Source: arXiv:2105.09613
  • Category: SDKs & Libraries
  • Tags: ann, high-performance, scalable, vector-search

Features

  • Graph-based ANNS algorithm
  • Optimized for billion-point nearest neighbor search
  • Efficient operation on a single node
  • Leverages SSD storage for scalability and performance
  • Suitable for large-scale vector database and similarity search applications

Pricing

  • No pricing information provided.

Information

PublisherFox
Websitearxiv.org
PublishedMay 13, 2025

Category

1 item