pyvsag


Namepyvsag JSON
Version 0.0.5 PyPI version JSON
download
home_pagehttps://github.com/alipay/vsag
Summaryvsag is a vector indexing library used for similarity search
upload_time2024-10-21 16:32:42
maintainerNone
docs_urlNone
authorthe vsag project
requires_pythonNone
licenseApache-2.0
keywords search nearest neighbors
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            VSAG is a vector indexing library used for similarity search. The indexing algorithm allows users to search through various sizes of vector sets, especially those that cannot fit in memory. The library also provides methods for generating parameters based on vector dimensions and data scale, allowing developers to use it without understanding the algorithm’s principles. VSAG is written in C++ and provides a Python wrapper package called pyvsag. Developed by the Vector Database Team at Ant Group.

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/alipay/vsag",
    "name": "pyvsag",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "search nearest neighbors",
    "author": "the vsag project",
    "author_email": "the.vsag.project@gmail.com",
    "download_url": null,
    "platform": null,
    "description": "VSAG is a vector indexing library used for similarity search. The indexing algorithm allows users to search through various sizes of vector sets, especially those that cannot fit in memory. The library also provides methods for generating parameters based on vector dimensions and data scale, allowing developers to use it without understanding the algorithm\u2019s principles. VSAG is written in C++ and provides a Python wrapper package called pyvsag. Developed by the Vector Database Team at Ant Group.\n",
    "bugtrack_url": null,
    "license": "Apache-2.0",
    "summary": "vsag is a vector indexing library used for similarity search",
    "version": "0.0.5",
    "project_urls": {
        "Homepage": "https://github.com/alipay/vsag"
    },
    "split_keywords": [
        "search",
        "nearest",
        "neighbors"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ab91720d8a7e3dd96dfb251cf5e6af5add1638f2627bd642ec04467b0870e821",
                "md5": "1cfaf1102fcb7e115d6f5037b4009aa0",
                "sha256": "9afcaa432a24530376d05e01a120b1026a0cae5b1383198d10454e3a64cbd7b0"
            },
            "downloads": -1,
            "filename": "pyvsag-0.0.5-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "1cfaf1102fcb7e115d6f5037b4009aa0",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 46974974,
            "upload_time": "2024-10-21T16:32:42",
            "upload_time_iso_8601": "2024-10-21T16:32:42.182515Z",
            "url": "https://files.pythonhosted.org/packages/ab/91/720d8a7e3dd96dfb251cf5e6af5add1638f2627bd642ec04467b0870e821/pyvsag-0.0.5-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-10-21 16:32:42",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "alipay",
    "github_project": "vsag",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "circle": true,
    "lcname": "pyvsag"
}
        
Elapsed time: 0.38645s