e-hekim / pyproject.toml
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e-hekim: Turkish medical semantic search and RAG (ChromaDB + embeddingmagibu-200m)
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[project]
name = "e-hekim"
version = "1.0.0"
description = "Turkish medical RAG and semantic search over hospital articles (ChromaDB + embeddingmagibu-200m)"
readme = "README.md"
requires-python = ">=3.11"
license = { text = "MIT" }
dependencies = [
# API layer
"fastapi>=0.115",
"uvicorn[standard]>=0.34",
"pydantic>=2.9",
"pydantic-settings>=2.6",
"python-dotenv>=1.0",
# Vector store
"chromadb>=1.0",
# Embeddings
"sentence-transformers>=5.2",
"transformers>=5.0",
"torch>=2.6",
# Data / ingestion
"datasets>=3.0",
"huggingface-hub>=0.28",
"pandas>=2.2",
"pyarrow>=18.0",
# LLM providers (OpenAI-compatible)
"openai>=1.60",
]
[project.optional-dependencies]
dev = [
"pytest>=8.3",
"httpx>=0.28",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src/ehekim"]
[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["src"]