This repository is a curated list of resources related to high-dimensional vector search and databases. It serves as a comprehensive reference for researchers, engineers, and practitioners working with vector databases, offering insights into services, libraries, benchmarks, publications, and various search methodologies.

How It Works

The list categorizes resources into services, libraries/engines, comparisons, books, conferences, courses, publications, and specific search approaches like quantization, graph-based methods, tree-based methods, and hashing. It aims to provide a structured overview of the rapidly evolving field of vector databases and similarity search.

Quick Start & Requirements

This is a curated list, not a software package. No installation or execution is required. The README provides links to various projects and resources for further exploration.

Highlighted Details

• Extensive coverage of Approximate Nearest Neighbor (ANN) search algorithms and their implementations.
• Detailed categorization of resources, including academic papers, benchmarks, and practical tools.
• Focus on various optimization techniques such as quantization, graph-based indexing, and hashing.
• Includes links to talks, articles, and tutorials for a broader understanding of vector databases.

Maintenance & Community

The repository is maintained by dangkhoasdc. It is a static list of curated links, with no active community features like forums or chat channels mentioned.

Licensing & Compatibility

This repository is a collection of links and does not have a specific license. The licenses of the linked projects vary.

Limitations & Caveats

As a curated list, the content's recency depends on the maintainer's updates. It does not provide direct functionality but rather pointers to other projects.