{
  "repodata": {
    "build": "py312hd43f75c_0",
    "build_number": 0,
    "constrains": [
      "gradientai >=1.4.0",
      "guidance >=0.0.64,<0.0.65",
      "transformers >=4.33.1,<5.0.0",
      "jsonpath-ng >=1.6.0,<2.0.0",
      "langchain >=0.0.303",
      "pgvector >=0.3.6,<1.0.0",
      "asyncpg >=0.29.0,<0.30.0",
      "beautifulsoup4 >=4.12.2,<5.0.0",
      "spacy >=3.7.1,<4.0.0",
      "psycopg2-binary >=2.9.9,<3.0.0",
      "scikit-learn *",
      "sentencepiece *",
      "optimum >=1.13.2,<2.0.0",
      "rank-bm25 >=0.2.2,<0.3.0",
      "lm-format-enforcer >=0.4.3,<0.5.0"
    ],
    "depends": [
      "aiohttp >=3.8.6,<4",
      "aiosqlite",
      "banks >=2.3.0,<3",
      "dataclasses-json",
      "deprecated >=1.2.9.3",
      "dirtyjson >=1.0.8,<2",
      "eval-type-backport >=0.2.0,<0.3",
      "filetype >=1.2.0,<2",
      "fsspec >=2023.5.0",
      "httpx",
      "llama-index-workflows >=2.14.0,<3",
      "nest-asyncio >=1.5.8,<2",
      "networkx >=3.0",
      "nltk >=3.9.3",
      "numpy",
      "pillow >=9.0.0",
      "platformdirs",
      "pydantic >=2.8.0",
      "python >=3.12,<3.13.0a0",
      "pyyaml >=6.0.1",
      "requests >=2.31.0",
      "setuptools >=80.9.0",
      "sqlalchemy >=1.4.49",
      "tenacity >=8.2.0,!=8.4.0,<10.0.0",
      "tiktoken >=0.7.0",
      "tinytag >=2.2.0",
      "tqdm >=4.66.1,<5",
      "typing-extensions >=4.5.0",
      "typing_inspect >=0.8.0",
      "wrapt"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "18b05428c59dbeb31dac71fac1401efa",
    "name": "llama-index-core",
    "sha256": "6d328837aca58bfdf6d78d7c45d50e71ff615239a93ab0f3e316d6b49640140d",
    "size": 11346228,
    "subdir": "linux-aarch64",
    "timestamp": 1780924647811,
    "version": "0.14.22"
  },
  "s3": "builds/ci/prefect/ZK231IYrSYaw7ucmmvyNsw/1780925239/linux-aarch64/llama-index-core-0.14.22-py312hd43f75c_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "8d11a09d23dc7984400e76117b22033af8f0dfd010ac5f574bf0cb581bba99edeaca501b17827261e9f3e6a4673fb6436c26a54669ade140aecfae5e0c44890b"
  }
}