superbit_lsh 0.1.1

A lightweight, in-memory vector index for approximate nearest neighbors using Locality-Sensitive Hashing
Documentation 
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[build-system]
requires = ["maturin>=1.0,<2.0"]
build-backend = "maturin"

[project]
name = "superbit-lsh"
version = "0.1.0"
description = "A lightweight, in-memory vector index for approximate nearest neighbors using Locality-Sensitive Hashing"
readme = "README.md"
license = { text = "MIT OR Apache-2.0" }
authors = [{ name = "Kunal Singh Dadhwal", email = "kunalsinghdadhwal@gmail.com" }]
requires-python = ">=3.8"
classifiers = [
    "Programming Language :: Rust",
    "Programming Language :: Python :: Implementation :: CPython",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "License :: OSI Approved :: MIT License",
    "License :: OSI Approved :: Apache Software License",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Scientific/Engineering :: Information Analysis",
]
keywords = ["lsh", "ann", "vector-search", "nearest-neighbors", "embeddings"]

[project.urls]
Homepage = "https://github.com/kunalsinghdadhwal/superbit"
Repository = "https://github.com/kunalsinghdadhwal/superbit"
Documentation = "https://docs.rs/superbit_lsh"

[tool.maturin]
features = ["python"]