Initial commit: RAG MCP Server with relationship graph
Features: - Vector search with Pinecone + Vertex AI embeddings - Document relationships (link, unlink, related, graph) - Auto-link with LLM analysis - Intelligent merge with Gemini Modular structure: - clients/: Pinecone, Vertex AI - tools/: core, relations, stats - utils/: validation, logging Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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pyproject.toml
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26
pyproject.toml
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[project]
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name = "rag-mcp"
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version = "1.0.0"
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description = "RAG Memory MCP Server with relationship graph support"
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readme = "README.md"
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requires-python = ">=3.11"
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dependencies = [
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"fastmcp>=0.1.0",
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"pinecone>=5.0.0",
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"python-dotenv>=1.0.0",
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"requests>=2.31.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8.0.0",
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"ruff>=0.1.0",
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]
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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", "W"]
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ignore = ["E501"]
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