{
  "repodata": {
    "build": "py314h86b3a2c_1_cpu",
    "build_number": 1,
    "constrains": [
      "faiss-proc =*=cpu",
      "faiss-gpu ==9999999999"
    ],
    "depends": [
      "_openmp_mutex >=6.0 *_intel",
      "blas * mkl",
      "intel-openmp >=2025.0.0,<2026.0a0",
      "libfaiss 1.14.1 *_cpu",
      "libfaiss-avx2 1.14.1 *_cpu",
      "libgcc >=14",
      "libstdcxx >=14",
      "mkl >=2025.0.0,<2026.0a0",
      "mkl-service >=2.3.0,<3.0a0",
      "numpy >=1.23,<3",
      "numpy >=2.0",
      "packaging",
      "python >=3.14,<3.15.0a0",
      "python_abi 3.14.* *_cp314"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "4f1c6dfbb3cbdc3e737a807a6b54699f",
    "name": "faiss",
    "sha256": "f016eb7362e77edd04b88f4de3a3795297d584c45d5eecdd2dd6d5d0018dd467",
    "size": 4070059,
    "subdir": "linux-64",
    "timestamp": 1778253381564,
    "version": "1.14.1"
  },
  "s3": "builds/ci/prefect/YvjipQqSSg-l0tUMWz8G7g/1778273331/linux-64/faiss-1.14.1-py314h86b3a2c_1_cpu.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "e28d48d3ee5d070a7e9f1a009a9158210afe67996d10ad95160f6a3a265cb7a592a8623f95b912a62cdf57814c58204be485858c47780c4980ccbb1fc1fecd02"
  }
}