Hann: A Blazing-Fast Approximate Nearest Neighbor Search Library for Go

Hann is a high-performance approximate nearest neighbor search (ANN) library for Go. It offers various index data structures (HNSW, PQIVF, RPT) for efficient similarity searches in high-dimensional spaces, acting as a core component for vector databases. Boost your Go applications with fast in-memory similarity search capabilities. Supports multiple distance computations (Euclidean, Manhattan, cosine), index saving and loading, and bulk operations.