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{"repo": "0010grent/medgraphrag", "files": {".env.example": {"72f566cce9d47393803dcba2233d188d80f9bc7e": {"t": 1785745142.7064738, "n": 1057, "h": "031b1797ab4a2d34", "c": "DEEPSEEK_API_KEY=填你的key\nDEEPSEEK_BASE_URL=https://api.deepseek.com/v1\nDEEPSEEK_MODEL=deepseek-chat\n\n# 可选:开启 API Key 鉴权(请求头:X-API-Key: <TRIAGE_API_KEY>)\nTRIAGE_API_KEY=\n\n# 输出目录(用于保存 /v1/chat 的 session 轨迹)\nOUTPUT_DIR=outputs\n\n# 多轮对话 /v1/chat(默认仅保存 meta,不保存原文)\nCHAT_MAX_TURNS=8\n\n# 默认 0:不保存患者/医生原文;只保存 present/length/sha256 + slots/triage/trace\nALLOW_SAVE_SESSION_RAW_TEXT=0\n\n# /v1/chat 槽位抽取策略:llm(默认)或 rules(更稳定、离线测试用)\nCHAT_SLOT_EXTRACTOR=llm\n\n# RAG 配置(可选)\nRAG_COLLECTION=medical_kb\nHF_EMBEDDING_MODEL=intfloat/multilingual-e5-small\n\n# M1:RAGService(统一 embedding + 两阶段检索 + 可选 rerank)\n# 默认 provider=bce,优先使用 GPU(auto)\nRAG_PROVIDER=bce\nRAG_DEVICE=auto\nRAG_EMBED_MODEL=maidalun1020/bce-embedding-base_v1\nRAG_RERANK_MODEL=maidalun1020/bce-reranker-base_v1\nRAG_USE_RERANKER=1\nRAG_TOP_N=30\n# 向量库持久化目录(建议放云盘/外置盘,不提交到仓库)\n# 例如(Windows):RAG_PERSIST_DIR=D:\\\\YourCloud\\\\MedCaht\\\\kb_store\n# 例如(Linux/macOS):RAG_PERSIST_DIR=/mnt/yourcloud/MedCaht/kb_store\n# 不设置则默认使用:app/rag/kb_store\n# RAG_PERSIST_DIR=\n\n# Windows 兼容性:OpenMP 冲突 workaround(如无报错可不设)\nKMP_DUPLICATE_LIB_OK=TRUE\n"}}}}