AutoSchemaKG/pyproject.toml at main · HKUST-KnowComp/AutoSchemaKG · GitHub

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[build-system]
requires = ["flit_core >=3.12.0,<4"]
build-backend = "flit_core.buildapi"

[tool.flit.module]
name = "atlas_rag"

[project]
name = "atlas-rag"
version = "0.0.5.post1"
authors = [
    {name = "Jiaxin Bai", email = "jbai@connect.ust.hk"},
    {name = "Hong Ting TSANG", email = "httsangaj@connect.ust.hk"},
    {name = "Haoyu Huang", email = "haoyuhuang@link.cuhk.edu.hk"},
]
description = "AutoSchemaKG, a framework for fully autonomous knowledge graph construction that eliminates the need for predefined schemas."
readme = "README.md"
requires-python = ">=3.9"
keywords = [
    "retrieval-augmented-generation",
    "knowledge-graph",
    "nlp",
]
license = {text = "MIT"}
classifiers = [
    "Programming Language :: Python",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3 :: Only",
]
dependencies = [
    "numpy",
    "networkx>=3.1",
    "tqdm>=4.65.0",
    "jsonschema>=4.17.3",
    "neo4j>=5.8.0",
    "fastapi>=0.95.0",
    "uvicorn>=0.21.0",
    "openai>=1.0.0",
    "tenacity>=9.1.2",
    "pandas>=2.0.0",
    "sentence-transformers>=2.7.0",
    "transformers",
    "datasets",
    "einops",
    "accelerate>=1.7.0",
    "nltk",
    "graphdatascience",
    "json_repair"
]
[project.optional-dependencies]
nvembed = [
    "transformers>=4.42.4,<=4.47.1",
    "sentence-transformers==2.7.0"
]