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https://github.com/remaker01/rag-academic-assistant

基于RAG的学术文献问答系统
https://github.com/remaker01/rag-academic-assistant

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基于RAG的学术文献问答系统

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## 基于RAG的学术文献智能问答助手

先申请deepseek api key,创建.env文件
```ini
DEEPSEEK_BASE_URL=https://api.deepseek.com/v1
EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
VECTOR_STORE_PATH=./data/vector_store
DEEPSEEK_API_KEY=your_api_key
```

再运行`pip install -r requirements.txt`安装依赖

最后运行`main.py`启动客户端界面,或`run_api.py`运行后端服务。