VectorSearch with HNSW is a implementation of the Hierarchical Navigable Small World (HNSW) algorithm for efficient similarity search in high-dimensional vector spaces. This project demonstrates practical applications of approximate nearest neighbor search using the Fashion MNIST dataset, CIFAR-10 dataset as a case study.
computer-vision vector machine-learning-algorithms mnist ann similarity-search aritificalintelligence vectorsearch hsnwlib
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Updated
Oct 15, 2025 - Jupyter Notebook