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

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 awesome list compiling resources, tools, vector databases, and research relevant to vector search and storage. Serves as a meta-resource for exploring the vector database ecosystem.

A collection of datasets curated by Intel Labs specifically for evaluating and benchmarking vector search algorithms and databases.