GraphRAG Studio — initial commit: multimodal RAG system with KG visualization
Full-stack application for document-to-knowledge-graph pipeline: - Backend: FastAPI + LangGraph ReAct agent + DeepSeek + MinerU parsing - Frontend: React 19 + Vite + D3.js + shadcn/ui - Pipeline: MinerU parsing → LangExtract entity extraction → KG building Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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backend/pyproject.toml
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backend/pyproject.toml
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[project]
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name = "graphrag-studio-backend"
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version = "1.0.0"
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description = "GraphRAG Studio — FastAPI backend service"
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requires-python = ">=3.12"
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dependencies = [
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"fastapi>=0.104.0",
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"uvicorn[standard]>=0.24.0",
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"python-multipart>=0.0.6",
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"langextract[all]>=0.1.0",
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"langchain>=0.2.0",
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"langchain-openai>=0.1.0",
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"langgraph>=0.1.0",
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"networkx>=3.0",
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"python-dotenv>=1.0.0",
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"requests>=2.31.0",
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"beautifulsoup4>=4.12.0",
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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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