65 lines
2 KiB
TOML
65 lines
2 KiB
TOML
[project]
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name = "haiku.rag-slim"
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description = "Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling - Minimal dependencies"
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version = "0.20.0"
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authors = [{ name = "Yiorgis Gozadinos", email = "ggozadinos@gmail.com" }]
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license = { text = "MIT" }
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readme = { file = "README.md", content-type = "text/markdown" }
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requires-python = ">=3.12"
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keywords = ["RAG", "lancedb", "vector-database", "ml", "mcp"]
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classifiers = [
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"Development Status :: 4 - Beta",
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"Environment :: Console",
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"Intended Audience :: Developers",
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"Operating System :: Microsoft :: Windows :: Windows 10",
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"Operating System :: Microsoft :: Windows :: Windows 11",
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"Operating System :: MacOS",
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"Operating System :: POSIX :: Linux",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Typing :: Typed",
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]
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dependencies = [
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"docling-core==2.51.1",
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"httpx>=0.28.1",
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"lancedb==0.25.3",
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"pathspec>=0.12.1",
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"pydantic>=2.12.4",
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"pydantic-ai-slim[openai,fastmcp,logfire,ag-ui]==1.19.0",
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"python-dotenv>=1.2.1",
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"pyyaml>=6.0.3",
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"rich>=14.2.0",
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"typer>=0.19.2,<0.20.0",
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"watchfiles>=1.1.1",
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]
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[project.optional-dependencies]
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# Document processing
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docling = ["docling==2.62.0", "opencv-python-headless>=4.11.0.86"]
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# Embedding providers
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voyageai = ["voyageai>=0.3.5"]
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# Rerankers
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mxbai = ["mxbai-rerank>=0.1.6"]
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cohere = ["cohere>=5.20.0"]
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zeroentropy = ["zeroentropy>=0.1.0a6"]
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# Inspector TUI
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inspector = ["textual>=1.0.0", "textual-image>=0.8.1"]
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# Model providers (delegated to pydantic-ai-slim)
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anthropic = ["pydantic-ai-slim[anthropic]"]
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groq = ["pydantic-ai-slim[groq]"]
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google = ["pydantic-ai-slim[google]"]
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mistral = ["pydantic-ai-slim[mistral]"]
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bedrock = ["pydantic-ai-slim[bedrock]"]
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vertexai = ["pydantic-ai-slim[vertexai]"]
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[project.scripts]
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haiku-rag = "haiku.rag.cli:cli"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["haiku"]
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