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Python bindings that provide high-level access to low-level C++ vector indexing libraries.
Distinct from Vector Indexing: Distinct from Vector Indexing: refers specifically to the language binding layer rather than the indexing algorithm
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This project is a C++ vector similarity engine and implementation of the Hierarchical Navigable Small World algorithm. It provides a header-only library for performing approximate nearest neighbor searches in high-dimensional spaces, alongside Python bindings that expose these indexing and search capabilities to data science environments. The engine enables real-time embedding retrieval and high-dimensional similarity search using a multi-layered graph structure to balance search speed and accuracy. It supports custom distance metrics to calculate similarity between vectors in various mathema
Exposes high-performance C++ vector indexing and search capabilities to Python environments.