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Hashing

A set of libraries and methods focused on hashing for similarity search in vector databases, directly impacting the performance of large-scale vector search systems.

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About this tool

Hashing

A curated set of libraries and methods focused on hashing for similarity search in vector databases. These resources are relevant for improving the performance of large-scale vector search systems by enabling efficient similarity comparisons.

  • Source: awesome-vector-database - Hashing

Features

  • Collection of libraries and methods dedicated to hashing in the context of similarity search
  • Focus on large-scale vector search systems
  • Resources to aid in improving efficiency and performance of vector database searches
  • Useful for developers and researchers working with high-dimensional data and vector databases
  • Part of a broader curated list of resources on vector search

Category

  • Curated Resource Lists

Tags

  • hashing
  • similarity-search
  • resources
  • vector-search
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Information

Websiteawesome.ecosyste.ms
PublishedJun 7, 2025

Categories

1 Item
Curated Resource Lists

Tags

4 Items
#hashing
#similarity search
#resources
#vector search

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Efficient Locality Sensitive Hashing

This work by Jingfan Meng is a comprehensive research thesis on efficient locality-sensitive hashing (LSH), covering algorithmic solutions, core primitives, and applications for approximate nearest neighbor search. It is relevant to vector databases because LSH-based indexing is a foundational technique for scalable similarity search over high-dimensional vectors, informing the design of vector indexes, retrieval engines, and similarity search modules in modern vector database systems.

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