{
  "name": "svs",
  "abstract": "SVS Vamana index access method for pgvector",
  "description": "Adds the Vamana approximate nearest neighbor index access method, built on the Intel Scalable Vector Search (SVS) library, to pgvector. Requires the Intel SVS C API library; set SVS_INSTALL to its install prefix.",
  "version": "0.1.0",
  "maintainer": [
    "Kelly McKeighan <kelly.l.mckeighan@intel.com>",
    "Matt Welch <matt.welch@intel.com>",
    "Soji Denloye <olasoji.denloye@intel.com>"
  ],
  "license": "postgresql",
  "provides": {
    "svs": {
      "file": "sql/svs--0.1.0.sql",
      "docfile": "docs/USER_GUIDE.md",
      "version": "0.1.0"
    }
  },
  "prereqs": {
    "runtime": {
      "requires": {
        "PostgreSQL": "18.1.0",
        "vector": "0.8.2"
      }
    }
  },
  "resources": {
    "homepage": "https://github.com/intel/SVS-Extension-for-PostgreSQL",
    "bugtracker": {
      "web": "https://github.com/intel/SVS-Extension-for-PostgreSQL/issues"
    },
    "repository": {
      "url": "https://github.com/intel/SVS-Extension-for-PostgreSQL.git",
      "web": "https://github.com/intel/SVS-Extension-for-PostgreSQL",
      "type": "git"
    }
  },
  "meta-spec": {
    "version": "1.0.0",
    "url": "https://pgxn.org/meta/spec.txt"
  },
  "tags": [
    "SVS",
    "svs",
    "vector",
    "pgvector",
    "index",
    "vamana",
    "ann",
    "similarity search"
  ]
}