{
    "name": "vchord",
    "abstract": "Scalable, fast, and disk-friendly vector search in Postgres",
    "description": "VectorChord (vchord) is a PostgreSQL extension designed for scalable, high-performance, and disk-efficient vector similarity search, it supports L2 distance, inner product, cosine distance and maxsim",
    "version": "@DISTVERSION@",
    "maintainer": [
        "TensorChord support@tensorchord.ai",
        "usamoi usamoi@tensorchord.ai"
    ],
    "license": "agpl_3",
    "prereqs": {
        "runtime": {
            "requires": {
                "PostgreSQL": "13.0.0"
            }
        }
    },
    "provides": {
        "vchord": {
            "file": "src/lib.rs",
            "docfile": "README.md",
            "version": "@DISTVERSION@",
            "abstract": "Scalable, fast, and disk-friendly vector search in Postgres"
        }
    },
    "resources": {
        "homepage": "https://github.com/tensorchord/VectorChord",
        "bugtracker": {
            "web": "https://github.com/tensorchord/VectorChord/issues"
        },
        "repository": {
            "url": "https://github.com/tensorchord/VectorChord.git",
            "web": "https://github.com/tensorchord/VectorChord",
            "type": "git"
        }
    },
    "generated_by": "TensorChord",
    "meta-spec": {
        "version": "1.0.0",
        "url": "http://pgxn.org/meta/spec.txt"
    },
    "tags": [
        "vector search",
        "vectors",
        "datatype",
        "nearest neighbor search",
        "approximate nearest neighbors"
    ]
}