chore: init monorepo snapshot
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[build-system]
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requires = ["setuptools>=64", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "lightrag-hku"
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dynamic = ["version"]
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authors = [
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{name = "Zirui Guo"}
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]
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description = "LightRAG: Simple and Fast Retrieval-Augmented Generation"
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readme = "README.md"
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license = {text = "MIT"}
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requires-python = ">=3.10"
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classifiers = [
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"Development Status :: 4 - Beta",
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: MIT License",
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"Operating System :: OS Independent",
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"Intended Audience :: Developers",
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"Topic :: Software Development :: Libraries :: Python Modules",
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]
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dependencies = [
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"aiohttp",
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"configparser",
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"future",
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"google-api-core>=2.0.0,<3.0.0",
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"json_repair",
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"nano-vectordb",
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"networkx",
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"numpy>=1.24.0,<2.0.0",
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"pandas>=2.0.0,<2.4.0",
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"pipmaster",
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"pydantic",
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"pypinyin",
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"python-dotenv",
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"setuptools",
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"tenacity",
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"tiktoken",
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"xlsxwriter>=3.1.0",
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]
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[project.optional-dependencies]
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api = [
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# Core dependencies
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"aiohttp",
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"configparser",
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"future",
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"json_repair",
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"nano-vectordb",
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"networkx",
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"numpy>=1.24.0,<2.0.0",
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"openai>=1.0.0,<3.0.0",
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"pandas>=2.0.0,<2.4.0",
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"pipmaster",
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"pydantic",
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"pypinyin",
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"python-dotenv",
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"setuptools",
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"tenacity",
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"tiktoken",
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"xlsxwriter>=3.1.0",
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"google-api-core>=2.0.0,<3.0.0",
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# API-specific dependencies
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"aiofiles",
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"ascii_colors",
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"asyncpg",
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"distro",
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"fastapi",
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"httpcore",
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"httpx",
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"jiter",
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"passlib[bcrypt]",
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"psutil",
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"PyJWT>=2.8.0,<3.0.0",
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"python-jose[cryptography]",
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"python-multipart",
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"pytz",
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"uvicorn",
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"gunicorn",
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# Document processing dependencies (required for API document upload functionality)
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"openpyxl>=3.0.0,<4.0.0", # XLSX processing
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"pycryptodome>=3.0.0,<4.0.0", # PDF encryption support
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"pypdf>=6.1.0", # PDF processing
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"python-docx>=0.8.11,<2.0.0", # DOCX processing
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"python-pptx>=0.6.21,<2.0.0", # PPTX processing
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]
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# Advanced document processing engine (optional)
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docling = [
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# On macOS, pytorch and frameworks use Objective-C are not fork-safe,
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# and not compatible to gunicorn multi-worker mode
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"docling>=2.0.0,<3.0.0; sys_platform != 'darwin'",
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]
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# Offline deployment dependencies (layered design for flexibility)
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offline-storage = [
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# Storage backend dependencies
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"redis>=5.0.0,<8.0.0",
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"neo4j>=5.0.0,<7.0.0",
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"pymilvus>=2.6.2,<3.0.0",
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"pymongo>=4.0.0,<5.0.0",
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"asyncpg>=0.29.0,<1.0.0",
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"qdrant-client>=1.11.0,<2.0.0",
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]
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offline-llm = [
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# LLM provider dependencies
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"openai>=1.0.0,<3.0.0",
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"anthropic>=0.18.0,<1.0.0",
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"ollama>=0.1.0,<1.0.0",
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"zhipuai>=2.0.0,<3.0.0",
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"aioboto3>=12.0.0,<16.0.0",
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"voyageai>=0.2.0,<1.0.0",
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"llama-index>=0.9.0,<1.0.0",
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"google-api-core>=2.0.0,<3.0.0",
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]
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offline = [
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# Complete offline package (includes api for document processing, plus storage and LLM)
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"lightrag-hku[api,offline-storage,offline-llm]",
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]
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evaluation = [
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# RAG evaluation dependencies (RAGAS framework)
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"ragas>=0.3.7",
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"datasets>=4.3.0",
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"httpx>=0.28.1",
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"pytest>=8.4.2",
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"pytest-asyncio>=1.2.0",
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]
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observability = [
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# LLM observability and tracing dependencies
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"langfuse>=3.8.1",
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]
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[project.scripts]
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lightrag-server = "lightrag.api.lightrag_server:main"
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lightrag-gunicorn = "lightrag.api.run_with_gunicorn:main"
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lightrag-download-cache = "lightrag.tools.download_cache:main"
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[project.urls]
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Homepage = "https://github.com/HKUDS/LightRAG"
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Documentation = "https://github.com/HKUDS/LightRAG"
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Repository = "https://github.com/HKUDS/LightRAG"
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"Bug Tracker" = "https://github.com/HKUDS/LightRAG/issues"
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[tool.setuptools.packages.find]
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include = ["lightrag*"]
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exclude = ["data*", "tests*", "scripts*", "examples*", "dickens*", "reproduce*", "output_complete*", "rag_storage*", "inputs*"]
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[tool.setuptools]
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include-package-data = true
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[tool.setuptools.dynamic]
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version = {attr = "lightrag.__version__"}
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[tool.setuptools.package-data]
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lightrag = ["api/webui/**/*", "api/static/**/*"]
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[tool.ruff]
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target-version = "py310"
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