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GraphRAG Studio — initial commit: multimodal RAG system with KG visualization

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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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plf
2026-06-07 17:30:04 +08:00
commit b02d3378fc
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backend/.env.example Normal file
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# DeepSeek API (required for entity extraction + QA)
DEEPSEEK_API_KEY=your_deepseek_api_key_here
DEEPSEEK_BASE_URL=https://api.deepseek.com
# MinerU (required for document parsing)
MINERU_API_TOKEN=your_mineru_api_token_here
# MinerU venv path (absolute path to python.exe)
MINERU_PYTHON=F:/GraphRAGAgent/mineru_mvp/.venv/Scripts/python.exe
MINERU_PIPELINE=F:/GraphRAGAgent/mineru_mvp/pipeline.py