- Add Python project with uv package manager - Implement LlamaIndex + ChromaDB RAG pipeline - Add sentence-transformers for local embeddings (all-MiniLM-L6-v2) - Create MCP server with semantic search, indexing, and stats tools - Add Markdown chunker with heading/wikilink/frontmatter support - Add Dockerfile and docker-compose.yaml for self-hosted deployment - Include sample Obsidian vault files for testing - Add .gitignore and .env.example
37 lines
756 B
TOML
37 lines
756 B
TOML
[project]
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name = "knowledge-rag"
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version = "0.1.0"
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description = "RAG system for Obsidian vault knowledge base with MCP server"
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readme = "README.md"
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requires-python = ">=3.11"
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dependencies = [
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"llama-index>=0.10.0",
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"llama-index-vector-stores-chroma>=0.1.0",
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"chromadb>=0.4.0",
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"sentence-transformers>=2.2.0",
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"mcp>=1.0.0",
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"python-dotenv>=1.0.0",
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"pydantic>=2.0.0",
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"watchdog>=3.0.0",
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"httpx>=0.25.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=7.0.0",
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"pytest-asyncio>=0.21.0",
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"ruff>=0.1.0",
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]
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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.ruff]
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line-length = 100
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target-version = "py311"
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[tool.ruff.lint]
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select = ["E", "F", "I", "N", "W"]
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ignore = ["E501"]
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