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pyproject.toml
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61 lines (54 loc) · 1.23 KB
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[build-system]
requires = ["setuptools"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
packages = [
"ragatouille",
"ragatouille.models",
"ragatouille.data",
"ragatouille.integrations",
"ragatouille.negative_miners",
]
[project]
name = "RAGatouille"
version = "0.0.9post2"
description = "Library to facilitate the use of state-of-the-art retrieval models in common RAG contexts."
keywords = ["reranking", "retrieval", "rag", "nlp"]
authors = [
{name = "Ben Clavié", email = "bc@answer.ai" }
]
maintainers = [
{name = "Ben Clavié", email = "bc@answer.ai" }
]
license = {file = "LICENSE"}
readme = "README.md"
dependencies = [
"llama-index",
"faiss-cpu",
"langchain_core",
"colbert-ai>=0.2.19",
"langchain",
"onnx",
"srsly",
"voyager",
"torch>=1.13",
"fast-pytorch-kmeans",
"sentence-transformers",
]
[project.optional-dependencies]
all = [
"llama-index",
"langchain",
"rerankers",
"voyager",
]
llamaindex = ["llama-index"]
langchain = ["langchain"]
train = ["sentence-transformers", "pylate", "rerankers"]
[project.urls]
"Homepage" = "https://github.com/answerdotai/ragatouille"
[tool.pytest.ini_options]
filterwarnings = [
"ignore::Warning"
]
target-version = "py39"