KGraph is an open-source library for fast approximate nearest neighbor search in high-dimensional vector spaces, applicable to vector database solutions.
Arroy is an open-source library for efficient similarity search and management of vector embeddings, useful in vector database systems.
HVS is a graph-based index structure leveraging Voronoi diagrams for approximate nearest neighbor search in high-dimensional vector spaces. It is directly relevant to vector databases as it provides efficient similarity search capabilities for large-scale vector data.
MRPT (Multi-Resolution Proximity Trees) is an open-source library for fast approximate nearest neighbor search in high-dimensional vector spaces, applicable to vector database backends.
NGT (Neighborhood Graph and Tree) is an open-source vector search engine designed for fast and scalable approximate nearest neighbor search.
Puck is an open-source vector search engine designed for fast similarity search and retrieval of embedding vectors.
KGraph is an open-source library for fast approximate nearest neighbor (ANN) search in high-dimensional vector spaces, with applications in vector database solutions and similarity search.
kgraph), supporting Euclidean and Angular distances on rows of NumPy matrices.python setup.py install.KGraph is open-source and free to use.