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.

A curated list of awesome projects and research related to vector search, including dedicated vector databases, vector search libraries, performance benchmarks, and cost analysis resources.

VectorHub is a resource and learning platform for developers and ML architects interested in integrating vector retrieval and search capabilities into their machine learning stacks, directly supporting vector database adoption and usage.

A curated collection of libraries, services, and research papers focused on vector search, including vector database technologies and related resources.

A CVPR 2020 tutorial on large-scale image retrieval in unconstrained environments, including methods and system considerations for vector-based image search relevant to vector database and ANN applications.

Foundational IR textbook that includes content on vector‑space models and retrieval, providing essential background for understanding vector search and hybrid retrieval in modern vector databases.