KNN Search Algorithm Comparison – This project compares the performance of different K-Nearest Neighbors (KNN) search algorithms across various dataset sizes and dimensions. ... List of vector counts ...

Abstract: As a result of a combination of template comparison for estimating block similarity, edge selection algorithms and an improved block search method, two versions of a generalized method for ...

Abstract: Support Vector Machine (SVM) is one of the most widely used algorithms for solving classification and regression problems. SVM parameters such as the kernel and the penalty (C) parameters ...

The RaBitQ Library provides efficient and lightweight implementations of the RaBitQ quantization algorithm (1-bit version and multi-bit version) and its applications in high-dimensional vector search.

Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable.

Microsoft's latest contribution to open source, Space Partition Tree And Graph (SPTAG), is an implementation of the approximate nearest neighbor search (NNS) algorithm that is used in Microsoft Bing s ...