{"id":86444,"date":"2026-07-28T17:17:07","date_gmt":"2026-07-28T09:17:07","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/86444.html"},"modified":"2026-07-28T17:17:07","modified_gmt":"2026-07-28T09:17:07","slug":"%e9%9d%a2%e5%90%91%e7%a7%91%e5%ad%a6%e8%a3%85%e7%bd%ae%e7%9a%84%e7%ba%a0%e9%94%99%e5%bc%8f%e6%99%ba%e8%83%bd%e6%b7%b7%e5%90%88rag%e4%b8%8e%e8%bf%90%e7%bb%b4%e5%ae%9e%e6%b5%8b%e8%af%84%e6%b5%8b","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/86444.html","title":{"rendered":"\u9762\u5411\u79d1\u5b66\u88c5\u7f6e\u7684\u7ea0\u9519\u5f0f\u667a\u80fd\u6df7\u5408RAG\u4e0e\u8fd0\u7ef4\u5b9e\u6d4b\u8bc4\u6d4b\u4f53\u7cfb"},"content":{"rendered":"

\u9762\u5411\u79d1\u5b66\u88c5\u7f6e\u7684\u7ea0\u9519\u5f0f\u667a\u80fd\u6df7\u5408RAG\u4e0e\u8fd0\u7ef4\u5b9e\u6d4b\u8bc4\u6d4b\u4f53\u7cfb<\/h2>\n

arXiv\u539f\u6587\u94fe\u63a5：https:\/\/arxiv.org\/html\/2607.24663v1<\/p>\n

\u6458\u8981<\/h3>\n

\u5927\u578b\u79d1\u5b66\u7528\u6237\u8bbe\u65bd\u6570\u5341\u5e74\u8fd0\u7ef4\u77e5\u8bc6\u5206\u6563\u5b58\u50a8\u4e8e\u7535\u5b50\u65e5\u5fd7\u3001\u6280\u672f\u624b\u518c\u3001\u5185\u90e8\u7ef4\u57fa\u3001\u8fd0\u7ef4\u804a\u5929\u3001\u5de5\u5355\u3001\u8bbe\u5907\u505c\u673a\u8bb0\u5f55\u3001\u5b9e\u65f6\u63a7\u5236\u7cfb\u7edf\u7b49\u5f02\u6784\u6570\u636e\u6e90，\u4f20\u7edf\u5355\u4e00\u68c0\u7d22\u7cfb\u7edf\u65e0\u6cd5\u7edf\u4e00\u6574\u5408\u3002\u672c\u6587\u8bbe\u8ba1\u5e76\u843d\u5730APS-RAG\u5e73\u53f0\u2014\u2014\u9762\u5411\u5148\u8fdb\u5149\u5b50\u6e90（APS）\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u7cfb\u7edf，\u652f\u6301\u81ea\u7136\u8bed\u8a00\u67e5\u8be2\u5168\u673a\u6784\u8fd0\u7ef4\u77e5\u8bc6\u5e93；\u540c\u65f6\u914d\u5957\u4e00\u5957\u8d34\u5408\u771f\u5b9e\u8fd0\u7ef4\u573a\u666f\u7684\u6807\u51c6\u5316\u8bc4\u6d4b\u6846\u67b6\u3002
\n\u68c0\u7d22\u5f15\u64ce\u878d\u5408\u7a20\u5bc6\u5411\u91cf\u3001\u7a00\u758fBM25\u3001\u77e5\u8bc6\u56fe\u8c31\u4e09\u8def\u53ec\u56de，\u57fa\u4e8e\u67e5\u8be2\u7c7b\u578b\u81ea\u9002\u5e94 reciprocal-rank \u878d\u5408；\u5185\u7f6eLangGraph\u5b9e\u73b0\u7ea0\u9519\u5f0f\u667a\u80fd\u8fed\u4ee3\u56de\u8def；\u57fa\u4e8eModel Context Protocol（MCP）\u642d\u5efa\u539f\u751fReAct\u5de5\u5177\u6267\u884c\u5c42，\u53ef\u8c03\u7528EPICS\u5b9e\u65f6\u8bbe\u5907\u65f6\u5e8f\u6570\u636e\u3002
\n\u672c\u6587\u6784\u5efaAPS-Bench\u8bc4\u6d4b\u96c6，\u517150\u9053\u57fa\u4e8e\u771f\u5b9e\u8fd0\u7ef4\u8bed\u6599\u751f\u6210\u7684\u95ee\u7b54，\u6bcf\u9053\u9898\u76ee\u9644\u5e26\u4eba\u5de5\u6821\u9a8c\u6807\u51c6\u7b54\u6848\u4e0e\u5173\u952e\u8bc1\u636e\u7247\u6bb5\u6807\u6ce8\u3002\u57fa\u7ebf\u6734\u7d20BM25\u68c0\u7d22\u4e25\u683c\u5173\u952e\u4fe1\u606f\u53ec\u56de\u7387\u4ec563.8%，\u5b8c\u6574\u7ea0\u9519\u5f0f\u667a\u80fd\u56fe\u8c31RAG\u65b9\u6848\u53ef\u8fbe70.3%\u3002\u5b9e\u9a8c\u8bc1\u660e\u8de8\u7f16\u7801\u5668\u91cd\u6392\u5668\u662f\u6027\u80fd\u51b3\u5b9a\u6027\u7ec4\u4ef6，\u79fb\u9664\u540e\u4e25\u683c\u5173\u952e\u53ec\u56de\u7387\u66b4\u8dcc32.8%；\u77e5\u8bc6\u56fe\u8c31\u3001\u7ea0\u9519\u8fed\u4ee3\u56de\u8def\u53ef\u5c0f\u5e45\u63d0\u5347\u6548\u679c，\u4f46\u589e\u76ca\u4e0d\u5177\u5907\u7edf\u8ba1\u663e\u8457\u6027\u3002
\n\u672c\u6587\u5b8c\u6574\u5f00\u6e90\u8bc4\u6d4b\u96c6\u3001\u516d\u5206\u5c42\u8bc4\u6d4b\u5de5\u5177\u3001MCP\u68c0\u7d22\u6280\u80fd\u4ee3\u7801，\u53ef\u4e3a\u540c\u6b65\u8f90\u5c04\u3001\u52a0\u901f\u5668\u7b49\u5927\u578b\u79d1\u7814\u88c5\u7f6e\u642d\u5efa\u77e5\u8bc6\u5e93\u95ee\u7b54\u7cfb\u7edf\u63d0\u4f9b\u53ef\u590d\u7528\u5de5\u7a0b\u8303\u5f0f\u3002
\n\u5173\u952e\u8bcd：RAG；Agentic\u667a\u80fd\u68c0\u7d22；\u7ea0\u9519\u5f0fCRAG；\u77e5\u8bc6\u56fe\u8c31\u68c0\u7d22；MCP\u5de5\u5177\u534f\u8bae；\u52a0\u901f\u5668\u8fd0\u7ef4；\u8bc4\u6d4b\u57fa\u51c6；\u79d1\u5b66\u8bbe\u65bd\u77e5\u8bc6\u5e93
\n\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u4e00\u3001\u5f15\u8a00<\/h2>\n

\u5927\u578b\u52a0\u901f\u5668\u3001\u540c\u6b65\u8f90\u5c04\u7c7b\u79d1\u5b66\u88c5\u7f6e\u5e38\u5e74\u8fde\u7eed\u8fd0\u884c，\u8fd0\u7ef4\u7ecf\u9a8c\u5206\u6563\u5728\u591a\u5957\u72ec\u7acb\u7cfb\u7edf：<\/p>\n

  • BELY\u7535\u5b50\u8fd0\u884c\u65e5\u5fd7：\u675f\u6d41\u4e22\u5931\u3001\u8bbe\u5907\u8c03\u8bd5\u3001\u5b9e\u9a8c\u73ed\u6b21\u8bb0\u5f55；<\/li>\n
  • ICMS\u53d7\u63a7\u6280\u672f\u6587\u6863：\u8bbe\u5907\u89c4\u8303\u3001\u8c03\u8bd5\u6d41\u7a0b\u3001\u6545\u969c\u5904\u7f6e\u65b9\u6848；<\/li>\n
  • \u8fd0\u7ef4\u5de5\u5355\u7cfb\u7edf：\u8bbe\u5907\u7ef4\u4fee\u3001\u66f4\u6362\u3001\u6545\u969c\u5904\u7406\u5168\u6d41\u7a0b；<\/li>\n
  • Teams\u5185\u90e8\u8fd0\u7ef4\u804a\u5929：\u5b9e\u65f6\u6392\u969c\u6c9f\u901a；<\/li>\n
  • \u5185\u90e8\u7ef4\u57fa：\u5206\u7cfb\u7edf\u64cd\u4f5c\u624b\u518c；<\/li>\n
  • MCR\u505c\u673a\u7ed3\u6784\u5316\u8bb0\u5f55；<\/li>\n
  • SDDS\u3001OAG\u63a7\u5236\u8f6f\u4ef6\u6587\u6863；<\/li>\n
  • EPICS\u5f52\u6863：\u5b9e\u65f6\/\u5386\u53f2\u8bbe\u5907PV\u8fc7\u7a0b\u53d8\u91cf（\u4e0d\u53ef\u9884\u7d22\u5f15，\u5b9e\u65f6\u8c03\u7528）\u3002<\/li>\n

    \u64cd\u4f5c\u4eba\u5458\u6392\u67e5\u6545\u969c\u3001\u5b9e\u9a8c\u4eba\u5458\u67e5\u9605\u5386\u53f2\u65b9\u6848\u65f6，\u9700\u8981\u5207\u6362\u591a\u5957\u7cfb\u7edf\u3001\u8bb0\u5fc6\u5404\u7c7b\u67e5\u8be2\u8bed\u6cd5，\u5b66\u4e60\u6210\u672c\u6781\u9ad8；\u8d44\u6df1\u5458\u5de5\u79bb\u804c\u4f1a\u5e26\u8d70\u5927\u91cf\u9690\u6027\u8fd0\u7ef4\u7ecf\u9a8c\u3002\u4ec5\u4f9d\u9760\u5927\u6a21\u578b\u65e0\u68c0\u7d22\u76f4\u63a5\u751f\u6210\u56de\u7b54\u6781\u6613\u4ea7\u751f\u65e0\u4f9d\u636e\u5e7b\u89c9，\u68c0\u7d22\u589e\u5f3a\u751f\u6210（RAG）\u53ef\u5c06\u56de\u7b54\u951a\u5b9a\u771f\u5b9e\u6587\u6863\u3001\u6bcf\u6761\u7ed3\u8bba\u9644\u5e26\u539f\u6587\u5f15\u7528，\u89e3\u51b3\u4e8b\u5b9e\u6027\u9519\u8bef\u95ee\u9898\u3002
    \n\u73b0\u6709\u9886\u57dfRAG\u5de5\u4f5c\u5b58\u5728\u77ed\u677f：\u4ec5\u505a\u57fa\u7840\u7a20\u5bc6\/\u7a00\u758f\u6df7\u5408\u68c0\u7d22，\u7f3a\u5c11\u6545\u969c\u94fe\u8def\u77e5\u8bc6\u56fe\u8c31\u3001\u8fed\u4ee3\u7ea0\u9519\u667a\u80fd\u56de\u8def，\u4e14\u7f3a\u5c11\u8d34\u5408\u52a0\u901f\u5668\u8fd0\u7ef4\u7684\u4e13\u7528\u8bc4\u6d4b\u6570\u636e\u96c6（\u901a\u7528QA\u57fa\u51c6\u65e0\u6cd5\u8861\u91cf\u8bbe\u5907\u6545\u969c\u3001\u65f6\u5e8f\u3001\u591a\u6b65\u9aa4\u6d41\u7a0b\u7c7b\u95ee\u9898\u6548\u679c）\u3002
    \n\u672c\u6587\u6838\u5fc3\u8d21\u732e：<\/p>\n

  • \u90e8\u7f72APS-RAG\u5b8c\u6574\u5de5\u7a0b\u7cfb\u7edf：\u4e09\u8def\u81ea\u9002\u5e94\u878d\u5408\u68c0\u7d22\u3001\u7ea0\u9519\u667a\u80fd\u5faa\u73af\u3001MCP\u539f\u751f\u5de5\u5177\u5c42\u3001\u77e5\u8bc6\u56fe\u8c31\u6545\u969c\u94fe\u8def\u68c0\u7d22\u4e00\u4f53\u5316\u67b6\u6784；<\/li>\n
  • \u63d0\u51fa\u516d\u5206\u5c42\u8fd0\u7ef4\u5bfc\u5411\u8bc4\u6d4b\u4f53\u7cfb，\u8bbe\u8ba1APS-Bench 50\u9898\u9886\u57df\u4e13\u7528\u57fa\u51c6，\u542b\u81ea\u52a8\u6570\u636e\u96c6\u751f\u6210\u6d41\u6c34\u7ebf\u3001\u5173\u952e\u8bc1\u636enugget\u6807\u6ce8\u65b9\u6848；<\/li>\n
  • \u5927\u89c4\u6a21\u6d88\u878d\u5b9e\u9a8c\u91cf\u5316\u5404\u7ec4\u4ef6\u589e\u76ca，\u8bc1\u660e\u8de8\u7f16\u7801\u5668\u91cd\u6392\u662f\u6027\u80fd\u6838\u5fc3\u4fdd\u969c；<\/li>\n
  • \u5f00\u653e\u5168\u5957\u4ee3\u7801\u3001\u8bc4\u6d4b\u811a\u672c\u3001\u57fa\u51c6\u6570\u636e\u96c6\u3001MCP\u68c0\u7d22\u6280\u80fd，\u652f\u6301\u5176\u4ed6\u79d1\u7814\u8bbe\u65bd\u76f4\u63a5\u590d\u7528\u843d\u5730\u3002<\/li>\n

    \u4e8c\u3001\u76f8\u5173\u5de5\u4f5c<\/h2>\n

    \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

    2.1 \u901a\u7528RAG\u3001\u667a\u80fdRAG\u3001\u7ea0\u9519CRAG\u4f53\u7cfb<\/h3>\n
  • \u57fa\u7840RAG：\u7a20\u5bc6DPR\u5411\u91cf\u68c0\u7d22 + BM25\u7a00\u758f\u68c0\u7d22 + RRF\u878d\u5408，\u4ec5\u5355\u6b21\u68c0\u7d22\u751f\u6210\u7b54\u6848；<\/li>\n
  • Self-RAG\u3001CRAG\u7ea0\u9519RAG：\u589e\u52a0\u68c0\u7d22-\u6821\u9a8c-\u91cd\u68c0\u7d22\u8fed\u4ee3\u903b\u8f91，\u68c0\u6d4b\u56de\u7b54\u8bc1\u636e\u4e0d\u8db3\u65f6\u81ea\u52a8\u6269\u5199\u67e5\u8be2\u3001\u4e8c\u6b21\u53ec\u56de；<\/li>\n
  • Agentic RAG：LangGraph\u7b49\u56fe\u7f16\u6392\u6846\u67b6\u5b9e\u73b0\u591a\u8f6e\u5de5\u5177\u8c03\u7528\u3001\u6761\u4ef6\u5206\u652f\u3001\u81ea\u6821\u9a8c\u95e8\u63a7；<\/li>\n
  • GraphRAG：\u6784\u5efa\u5b9e\u4f53-\u5173\u7cfb\u77e5\u8bc6\u56fe\u8c31，\u5904\u7406\u591a\u8df3\u56e0\u679c\u3001\u6545\u969c\u94fe\u5f0f\u95ee\u9898\u3002
    \n\u672c\u6587\u5728\u901a\u7528\u67b6\u6784\u57fa\u7840\u4e0a\u521b\u65b0：\u81ea\u9002\u5e94\u6743\u91cdRRF\u4e09\u8def\u878d\u5408（\u7a20\u5bc6\/\u7a00\u758f\/\u56fe\u8c31）+ \u4e13\u7528\u8fd0\u7ef4\u77e5\u8bc6\u56fe\u8c31 + MCP\u5b9e\u65f6\u8bbe\u5907\u6570\u636e\u5de5\u5177\u94fe\u3002<\/li>\n

    2.2 \u52a0\u901f\u5668\u9886\u57dfLLM\u77e5\u8bc6\u5e93\u7cfb\u7edf<\/h3>\n

    \u5df2\u6709CALMS（\u963f\u8d21）\u3001GAIA（DESY\u6b27\u6d32XFEL）\u3001\u7535\u5b50\u79bb\u5b50\u5bf9\u649e\u673aRAG\u3001\u65e5\u5fd7\u68c0\u7d22\u5de5\u5177\u7b49\u540c\u7c7b\u7cfb\u7edf，\u4f46\u5b58\u5728\u5171\u540c\u7f3a\u9677：<\/p>\n

  • \u4ec5\u57fa\u7840\u5355\u8def\/\u6df7\u5408\u68c0\u7d22，\u65e0\u8fed\u4ee3\u7ea0\u9519\u667a\u80fd\u4f53；<\/li>\n
  • \u7f3a\u5c11\u6545\u969c\u56e0\u679c\u77e5\u8bc6\u56fe\u8c31，\u65e0\u6cd5\u8ffd\u6eaf\u201c\u6545\u969c-\u539f\u56e0-\u5904\u7f6e\u6d41\u7a0b\u201d\u94fe\u8def；<\/li>\n
  • \u65e0\u6807\u51c6\u5316\u8fd0\u7ef4\u4e13\u7528\u8bc4\u6d4b\u96c6，\u4ec5\u9760\u4eba\u5de5\u5b9a\u6027\u8bc4\u4f30，\u65e0\u6cd5\u91cf\u5316\u7ec4\u4ef6\u6536\u76ca；<\/li>\n
  • \u4e0d\u652f\u6301\u5b9e\u65f6EPICS\u8bbe\u5907\u65f6\u5e8f\u6570\u636e\u8054\u52a8\u68c0\u7d22\u3002
    \nAPS-RAG\u586b\u8865\u4ee5\u4e0a\u7a7a\u767d，\u540c\u65f6\u914d\u5957\u5b8c\u6574\u53ef\u590d\u73b0\u5b9a\u91cf\u8bc4\u6d4b\u6846\u67b6\u3002<\/li>\n

    2.3 \u8bc4\u6d4b\u57fa\u51c6\u76f8\u5173\u7814\u7a76<\/h3>\n

    miniF2F\u3001SQuAD\u7b49\u901a\u7528\u95ee\u7b54\u57fa\u51c6\u4fa7\u91cd\u6587\u672c\u62bd\u53d6，\u4e0d\u5339\u914d\u52a0\u901f\u5668\u591a\u8df3\u3001\u65f6\u5e8f\u3001\u6545\u969c\u7c7b\u67e5\u8be2；InPars\u63d0\u51fa\u57fa\u4e8e\u6587\u6863\u81ea\u52a8\u751f\u6210\u95ee\u7b54\u5bf9\u7684\u6570\u636e\u96c6\u6784\u5efa\u65b9\u6cd5，\u672c\u6587\u57fa\u4e8e\u8be5\u601d\u8def\u6539\u9020\u4e3a\u8fd0\u7ef4\u4e13\u7528\u751f\u6210\u6d41\u6c34\u7ebf，\u65b0\u589e\u96be\u5ea6\u5206\u5c42\u3001\u67e5\u8be2\u7c7b\u578b\u7ea6\u675f\u3001\u5173\u952e\u8bc1\u636e\u6807\u6ce8\u6a21\u5757\u3002<\/p>\n

    \u4e09\u3001APS-RAG\u7cfb\u7edf\u6574\u4f53\u67b6\u6784<\/h2>\n

    3.1 APS\u516b\u5927\u77e5\u8bc6\u5e93\u6570\u636e\u6e90<\/h3>\n

    \u7cfb\u7edf\u9884\u7d22\u5f157\u7c7b\u9759\u6001\u6587\u6863，EPICS PV\u5b9e\u65f6\u6570\u636e\u901a\u8fc7MCP\u52a8\u6001\u8c03\u7528，\u5404\u6570\u636e\u6e90\u6587\u6863\u89c4\u6a21\u7edf\u8ba1：<\/p>\n\n\u6570\u636e\u6e90\u6587\u6863\u6570\u91cf\u603b\u5b57\u7b26GPT-4\u5206\u8bcdToken\u603b\u91cf<\/tr>\n\n\n\n\n\n\n\n\n\n
    BELY\u8fd0\u884c\u65e5\u5fd7<\/td>\n4.5k<\/td>\n14.0M<\/td>\n4.2M<\/td>\n<\/tr>\n
    ICMS\u6280\u672f\u6587\u6863<\/td>\n5.8k<\/td>\n72.0M<\/td>\n20.6M<\/td>\n<\/tr>\n
    \u8fd0\u7ef4\u5de5\u5355Work Requests<\/td>\n17.3k<\/td>\n3.0M<\/td>\n0.8M<\/td>\n<\/tr>\n
    Teams\u8fd0\u7ef4\u804a\u5929<\/td>\n9.4k<\/td>\n2.4M<\/td>\n0.8M<\/td>\n<\/tr>\n
    \u5185\u90e8\u7ef4\u57fa<\/td>\n0.2k<\/td>\n0.8M<\/td>\n0.1M<\/td>\n<\/tr>\n
    MCR\u505c\u673a\u8bb0\u5f55<\/td>\n103.0k<\/td>\n7.9M<\/td>\n1.9M<\/td>\n<\/tr>\n
    SDDS\u63a7\u5236\u5de5\u5177\u6587\u6863<\/td>\n0.6k<\/td>\n1.4M<\/td>\n0.4M<\/td>\n<\/tr>\n
    OAG\u64cd\u4f5c\u754c\u9762\u6587\u6863<\/td>\n0.7k<\/td>\n0.8M<\/td>\n0.2M<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u6570\u636e\u6e90\u5904\u7406\u89c4\u8303<\/h4>\n
  • \u5206\u6e90\u81ea\u5b9a\u4e49Schema：\u4fdd\u7559\u552f\u4e00\u6587\u6863ID\u3001\u521b\u5efa\u65f6\u95f4\u3001\u6240\u5c5e\u8bbe\u5907\u7cfb\u7edf\u3001\u6807\u9898\u3001\u6b63\u6587，\u652f\u6301\u7cbe\u786e\u6eaf\u6e90\u5f15\u7528；\u5de5\u5355\u3001\u65e5\u5fd7\u7b49\u5d4c\u5957\u7ed3\u6784\u6241\u5e73\u5316\u5206\u5757\u5b58\u50a8；<\/li>\n
  • \u6bcf\u65e5\u589e\u91cf\u540c\u6b65\u6d41\u6c34\u7ebf：\u901a\u8fc7\u6587\u6863\u54c8\u5e0cdiff\u6bd4\u5bf9，\u4ec5\u65b0\u589e\/\u4fee\u6539\u6587\u6863\u6267\u884c\u5411\u91cf\u3001BM25\u3001\u56fe\u8c31\u589e\u91cf\u66f4\u65b0，\u65e0\u9700\u5168\u91cf\u91cd\u5efa\u7d22\u5f15；<\/li>\n
  • \u7236\u5b50\u5206\u5757\u7d22\u5f15\u673a\u5236：\u5b8c\u6574\u7236\u6587\u6863\u4fdd\u5b58\u5168\u5c40\u4e0a\u4e0b\u6587，\u62c6\u5206\u5b50\u5757\u7528\u4e8e\u68c0\u7d22\u5d4c\u5165；\u5757\u91cd\u53e0200\u5b57\u7b26，\u6bcf\u5757\u524d\u7f6e\u6587\u6863\u5143\u4fe1\u606f\u4fdd\u8bc1\u68c0\u7d22\u7247\u6bb5\u81ea\u5b8c\u5907；<\/li>\n
  • \u7a20\u5bc6\u68c0\u7d22：e5-large-v2\u751f\u62101024\u7ef4\u5411\u91cf\u5b58\u5165Qdrant；\u7a00\u758f\u68c0\u7d22：Elasticsearch BM25；\u77e5\u8bc6\u56fe\u8c31Neo4j\u5b58\u50a8\u6545\u969c\u3001\u8bbe\u5907\u3001\u6d41\u7a0b\u5b9e\u4f53\u5173\u7cfb\u3002<\/li>\n

    3.2 \u6574\u4f53\u68c0\u7d22\u751f\u6210\u6d41\u6c34\u7ebf<\/h3>\n

    \u7528\u6237\u8f93\u5165\u81ea\u7136\u67e5\u8be2\u540e\u5b8c\u6574\u94fe\u8def：<\/p>\n

  • \u67e5\u8be2\u9884\u5904\u7406：\u65f6\u95f4\u89e3\u6790\u3001\u540c\u4e49\u8bcd\u6269\u5145\u3001\u7f29\u5199\u5c55\u5f00\u3001\u591a\u67e5\u8be2\u53d8\u4f53\u751f\u6210\u3001\u610f\u56fe\u5206\u7c7b（8\u7c7b\u8fd0\u7ef4\u67e5\u8be2）；<\/li>\n
  • \u4e09\u8def\u5e76\u884c\u53ec\u56de：\u7a20\u5bc6\u5411\u91cf\u3001BM25\u5173\u952e\u8bcd\u3001\u77e5\u8bc6\u56fe\u8c31Cypher\u67e5\u8be2；<\/li>\n
  • \u81ea\u9002\u5e94RRF\u878d\u5408：\u6839\u636e\u67e5\u8be2\u7c7b\u578b\u5206\u914d\u4e09\u8def\u68c0\u7d22\u6743\u91cd；<\/li>\n
  • Jina v3\u8de8\u7f16\u7801\u5668\u91cd\u6392，\u53d6Top50\u5019\u9009\u7247\u6bb5；<\/li>\n
  • \u7ea0\u9519\u667a\u80fd\u56de\u8def\u6821\u9a8c\u7b54\u6848\u8bc1\u636e\u5b8c\u5907\u5ea6，\u4e0d\u8db3\u5219\u6269\u5199\u67e5\u8be2\u91cd\u68c0\u7d22（\u6700\u591a2\u8f6e）；<\/li>\n
  • ReAct MCP\u5de5\u5177\u5c42：\u6309\u9700\u8c03\u7528EPICS\u5b9e\u65f6PV\u3001\u56fe\u7247\u68c0\u7d22\u3001\u6570\u503c\u8ba1\u7b97；
    \n7 LLM\u751f\u6210\u5e26\u539f\u6587ID\u5185\u8054\u5f15\u7528\u7684\u53ef\u9a8c\u8bc1\u56de\u7b54\u3002<\/li>\n

    3.3 \u81ea\u9002\u5e94\u4e09\u8defRRF\u878d\u5408\u516c\u5f0f<\/h4>\n

    RRF(d)=\u2211cwck+rc(d),k=60\\\\mathrm{RRF}(d)=\\\\sum_{c}\\\\frac{w_{c}}{k+r_{c}(d)},\\\\quad k=60<\/span><\/span>RRF<\/span><\/span>(<\/span>d<\/span>)<\/span><\/span>=<\/span><\/span><\/span><\/span><\/span>c<\/span><\/span><\/span><\/span><\/span>\u2211<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>k<\/span><\/span>+<\/span><\/span>r<\/span><\/span>c<\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>(<\/span>d<\/span>)<\/span><\/span><\/span><\/span><\/span><\/span><\/span>w<\/span><\/span>c<\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>,<\/span><\/span><\/span>k<\/span><\/span>=<\/span><\/span><\/span><\/span>60<\/span><\/span><\/span><\/span><\/span><\/span>
    \ncc<\/span><\/span>c<\/span><\/span><\/span><\/span><\/span>\u4e3a\u68c0\u7d22\u901a\u9053（\u7a20\u5bc6\/\u7a00\u758f\/\u56fe\u8c31），wcw_c<\/span><\/span>w<\/span><\/span>c<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>\u4e3a\u5bf9\u5e94\u6743\u91cd，rc(d)r_c(d)<\/span><\/span>r<\/span><\/span>c<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>(<\/span>d<\/span>)<\/span><\/span><\/span><\/span><\/span>\u4e3a\u6587\u6863dd<\/span><\/span>d<\/span><\/span><\/span><\/span><\/span>\u5728\u901a\u9053\u5185\u6392\u540d\u3002
    \n8\u7c7b\u67e5\u8be2\u9884\u8bbe\u56fa\u5b9a\u6743\u91cd（\u4eba\u5de5\u57fa\u4e8e\u8fd0\u7ef4\u7ecf\u9a8c\u8c03\u4f18）：<\/p>\n\n\u67e5\u8be2\u7c7b\u578b\u7a20\u5bc6\u6743\u91cdBM25\u6743\u91cd\u77e5\u8bc6\u56fe\u8c31\u6743\u91cd\u4fa7\u91cd\u901a\u9053<\/tr>\n\n\n\n\n\n\n\n\n\n
    factual\u4e8b\u5b9e\u67e5\u8be2<\/td>\n0.2<\/td>\n0.5<\/td>\n0.3<\/td>\nBM25（\u8bbe\u5907PV\u3001\u7f16\u53f7\u7cbe\u786e\u5339\u914d）<\/td>\n<\/tr>\n
    value\u6570\u503c\u67e5\u8be2<\/td>\n0.1<\/td>\n0.6<\/td>\n0.3<\/td>\nBM25<\/td>\n<\/tr>\n
    temporal\u65f6\u5e8f\u67e5\u8be2<\/td>\n0.3<\/td>\n0.5<\/td>\n0.2<\/td>\nBM25（\u65e5\u671f\/\u73ed\u6b21）<\/td>\n<\/tr>\n
    troubleshooting\u6545\u969c\u6392\u67e5<\/td>\n0.3<\/td>\n0.2<\/td>\n0.5<\/td>\n\u77e5\u8bc6\u56fe\u8c31（\u6545\u969c\u94fe\u8def）<\/td>\n<\/tr>\n
    multi_hop\u591a\u8df3\u63a8\u7406<\/td>\n0.3<\/td>\n0.2<\/td>\n0.5<\/td>\n\u77e5\u8bc6\u56fe\u8c31<\/td>\n<\/tr>\n
    comparative\u5bf9\u6bd4\u7c7b<\/td>\n0.4<\/td>\n0.3<\/td>\n0.3<\/td>\n\u5747\u8861\u4e09\u8def<\/td>\n<\/tr>\n
    code\u63a7\u5236\u4ee3\u7801<\/td>\n0.5<\/td>\n0.5<\/td>\n0.0<\/td>\n\u7a20\u5bc6+BM25<\/td>\n<\/tr>\n
    general\u901a\u7528\u54a8\u8be2<\/td>\n0.4<\/td>\n0.3<\/td>\n0.3<\/td>\n\u5747\u8861\u4e09\u8def<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

    3.4 \u7ea0\u9519\u5f0fAgentic\u5faa\u73af（LangGraph\u72b6\u6001\u673a\u5b9e\u73b0）<\/h3>\n

    1）\u6253\u5206\u516c\u5f0f（\u4eba\u5de5\u8c03\u4f18\u56fa\u5b9a\u7cfb\u6570）<\/h4>\n

    s=0.4\u03c1+0.3g+0.3c\u22120.05nKGs=0.4\\\\rho+0.3g+0.3c-0.05n_{\\\\text{KG}}<\/span><\/span>s<\/span><\/span>=<\/span><\/span><\/span><\/span>0.4<\/span>\u03c1<\/span><\/span>+<\/span><\/span><\/span><\/span>0.3<\/span>g<\/span><\/span>+<\/span><\/span><\/span><\/span>0.3<\/span>c<\/span><\/span>\u2212<\/span><\/span><\/span><\/span>0.05<\/span>n<\/span><\/span>KG<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

      \n
    • \u03c1\\\\rho<\/span><\/span>\u03c1<\/span><\/span><\/span><\/span><\/span>：\u68c0\u7d22\u7247\u6bb5\u76f8\u5173\u6027；<\/li>\n
    • gg<\/span><\/span>g<\/span><\/span><\/span><\/span><\/span>：\u56de\u7b54\u539f\u6587\u951a\u5b9a\u7a0b\u5ea6；<\/li>\n
    • cc<\/span><\/span>c<\/span><\/span><\/span><\/span><\/span>：\u7b54\u6848\u5b8c\u6574\u5ea6；<\/li>\n
    • nKGn_{\\\\text{KG}}<\/span><\/span>n<\/span><\/span>KG<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>：\u65e0\u6cd5\u901a\u8fc7\u56fe\u8c31\u9a8c\u8bc1\u5b9e\u4f53\u6570\u91cf\u60e9\u7f5a\u9879\u3002<\/li>\n<\/ul>\n

      2）\u6267\u884c\u903b\u8f91<\/h4>\n

      \u8bbe\u5b9a\u9608\u503c\u03c4=0.4\\\\tau=0.4<\/span><\/span>\u03c4<\/span><\/span>=<\/span><\/span><\/span><\/span>0.4<\/span><\/span><\/span><\/span><\/span>，\u5f97\u5206\u4f4e\u4e8e\u9608\u503c\u89e6\u53d1\u91cd\u68c0\u7d22：<\/p>\n

    • \u8f7b\u91cf\u9884\u6821\u9a8c\u95e8\u63a7（Claude Haiku\u5feb\u901f\u521d\u5ba1）：\u56de\u7b54\u7b80\u7565\u6539\u5199\u4f18\u5316，\u6210\u672c\u6781\u4f4e；<\/li>\n
    • \u4e0d\u8fbe\u6807\u5219\u8fdb\u5165\u5b8c\u6574\u7ea0\u9519\u8f6e\u6b21：LLM\u6269\u5199\u67e5\u8be2\u3001\u62d3\u5bbd\u65f6\u95f4\u8303\u56f4\u91cd\u65b0\u4e09\u8def\u68c0\u7d22；<\/li>\n
    • \u90e8\u7f72\u9650\u5236\u6700\u591a2\u8f6e\u7ea0\u9519，\u9632\u6b62\u65e0\u9650\u5faa\u73af，\u53d6\u6700\u4f18\u5f97\u5206\u56de\u7b54\u8f93\u51fa\u3002<\/li>\n

      \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

      3.5 \u6545\u969c\u4e13\u7528\u77e5\u8bc6\u56fe\u8c31\u6784\u5efa<\/h3>\n

      \u5b9e\u4f53\u7c7b\u578b<\/h4>\n

      Fault\u6545\u969c\u3001Component\u8bbe\u5907\u3001System\u5b50\u7cfb\u7edf\u3001LogEntry\u65e5\u5fd7\u3001WorkRequest\u5de5\u5355\u3001Procedure\u5904\u7f6e\u6d41\u7a0b\u3001Person\u8fd0\u7ef4\u4eba\u5458\u3002<\/p>\n

      \u6838\u5fc3\u5173\u7cfb<\/h4>\n

      CAUSED_BY\u6545\u969c\u8bf1\u56e0\u3001RESOLVED_BY\u5904\u7f6e\u65b9\u6848\u3001HAS_FAULT\u8bbe\u5907\u6545\u969c\u3001FOLLOWS_PROCEDURE\u6267\u884c\u6d41\u7a0b\u3002<\/p>\n

      \u56fe\u8c31\u80fd\u529b<\/h4>\n

      Cypher\u6700\u77ed\u8def\u5f84\u67e5\u8be2，\u81ea\u52a8\u4e32\u8054\u300c\u73b0\u8c61\u2192\u6839\u56e0\u2192\u5386\u53f2\u5904\u7f6e\u5de5\u5355\u300d\u5b8c\u6574\u6545\u969c\u94fe，\u666e\u901a\u5411\u91cf\u68c0\u7d22\u65e0\u6cd5\u8de8\u6587\u6863\u4e32\u8054\u56e0\u679c，\u662f\u6545\u969c\u6392\u67e5\u7c7b\u67e5\u8be2\u6838\u5fc3\u589e\u76ca\u6765\u6e90\u3002
      \n\u56fe\u8c31\u6570\u636e\u4ece8\u5957\u8bed\u6599LLM\u4e24\u9636\u6bb5\u62bd\u53d6，\u517196517\u8282\u70b9\u300184222\u6761\u8fb9\u5b58\u5165Neo4j\u793e\u533a\u7248\u3002<\/p>\n

      \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

      3.6 MCP\u5de5\u5177\u5c42 + ReAct\u539f\u751f\u8c03\u7528<\/h3>\n

      \u642d\u5efa4\u7ec4\u72ec\u7acbFastMCP\u670d\u52a1，\u63d0\u4f9b8\u7c7b\u5de5\u5177：<\/p>\n

    • archiver：EPICS PV\u5b9e\u65f6\/\u5386\u53f2\u65f6\u5e8f\u67e5\u8be2（channel_find\u3001channel_read）；<\/li>\n
    • graph：\u77e5\u8bc6\u56fe\u8c31\u68c0\u7d22；<\/li>\n
    • compute：\u6570\u503c\u8ba1\u7b97\u5668\u3001\u8868\u683c\u7edf\u8ba1\u6c99\u76d2\u4ee3\u7801\u6267\u884c；<\/li>\n
    • image：\u65e5\u5fd7\u622a\u56fe\u53cd\u5411\/\u6587\u672c\u56fe\u50cf\u68c0\u7d22（SigLIP+FAISS）\u3002
      \nMCP\u6301\u4e45\u4f1a\u8bdd\u6c60\u51cf\u5c11\u6a21\u578b\u3001\u7d22\u5f15\u53cd\u590d\u52a0\u8f7d\u5f00\u9500，\u5de5\u5177\u8c03\u7528\u6807\u51c6\u5316\u9519\u8bef\u5c01\u88c5；\u540c\u65f6\u5bf9\u5916\u66b4\u9732aps-rag\u72ec\u7acbMCP\u6280\u80fd，\u53ef\u5728Claude Code\u3001Codex\u7b49\u7f16\u7801\u667a\u80fd\u4f53\u76f4\u63a5\u8c03\u7528\u77e5\u8bc6\u5e93\u68c0\u7d22\u3002<\/li>\n

      \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

      3.7 \u524d\u7aef\u4ea4\u4e92\u754c\u9762<\/h3>\n

      \u57fa\u4e8eOpenWebUI\u5b9e\u73b0\u804a\u5929\u754c\u9762，\u4e09\u79cd\u8fd0\u884c\u6a21\u5f0f：<\/p>\n

    • APS-RAG Fast：\u5355\u6b21\u68c0\u7d22\u65e0\u7ea0\u9519，\u4f4e\u5ef6\u8fdf；<\/li>\n
    • APS-RAG Thinking：\u5f00\u542f\u6700\u591a\u4e24\u8f6e\u7ea0\u9519\u667a\u80fd\u5faa\u73af；<\/li>\n
    • AI Troubleshoot：\u4f18\u5148\u56fe\u8c31\u6545\u969c\u94fe\u8def\u68c0\u7d22\u3002
      \n\u56de\u7b54\u5185\u8054\u6587\u6863ID\u5f15\u7528（BELY_xxxx \/ WRQ_xxxx），\u70b9\u51fb\u76f4\u8fbe\u539f\u59cb\u8fd0\u7ef4\u8bb0\u5f55，\u9644\u5e26\u65f6\u5e8f\u3001\u56fe\u7247\u3001\u8ba1\u7b97\u5de5\u5177\u5feb\u6377\u5165\u53e3\u3002<\/li>\n

      \u56db\u3001\u8bc4\u6d4b\u57fa\u51c6APS-Bench\u4e0e\u516d\u5206\u5c42\u8bc4\u6d4b\u65b9\u6848<\/h2>\n

      4.1 APS-Bench\u6570\u636e\u96c6\u6784\u5efa\u6d41\u7a0b（\u517150\u9053\u95ee\u7b54，1\u9053\u4e0d\u53ef\u56de\u7b54\u6837\u4f8b）<\/h3>\n
    • \u91c7\u6837\u9636\u6bb5：\u6309\u300c\u6570\u636e\u6e90\u00d7\u67e5\u8be2\u7c7b\u578b\u300d\u7f51\u683c\u91c7\u6837\u539f\u59cb\u6587\u6863；<\/li>\n
    • \u7c7b\u578b\u7ea6\u675f\u95ee\u7b54\u751f\u6210：\u7ed9\u5b9a\u6587\u6863+\u67e5\u8be2\u7c7b\u578b\u6a21\u677f，LLM\u751f\u6210\u95ee\u9898+\u6807\u51c6\u53c2\u8003\u7b54\u6848；<\/li>\n
    • \u7ed3\u6784\u96be\u5ea6\u5206\u7ea7：\u4f9d\u636e\u8bc1\u636e\u8df3\u6570\u3001\u65f6\u5e8f\u8303\u56f4\u5212\u5206easy\/medium\/hard；<\/li>\n
    • \u8fc7\u6ee4\u53bb\u91cd：\u4ec5\u4fdd\u7559\u53ef\u88ab\u68c0\u7d22\u5230\u7684\u6709\u6548\u95ee\u9898；<\/li>\n
    • \u5173\u952enugget\u6807\u6ce8：\u6807\u51c6\u7b54\u6848\u62c6\u5206\u4e3avital\u6838\u5fc3\u8bc1\u636e（\u5fc5\u987b\u51fa\u73b0）\u3001okay\u8f85\u52a9\u4fe1\u606f，\u7528\u4e8e\u91cf\u5316\u56de\u7b54\u5b8c\u5907\u5ea6\u3002
      \n\u6570\u636e\u96c6\u5b8c\u6574\u5143\u6570\u636e\u3001\u751f\u6210\u811a\u672c\u5f00\u6e90，\u6bcf\u9053\u9898\u76ee\u9644\u5e26\u6eaf\u6e90\u54c8\u5e0c\u3001\u63d0\u793a\u8bcd\u6a21\u677f\u8bb0\u5f55\u3002<\/li>\n

      4.2 \u516d\u5c42\u5b8c\u6574\u8bc4\u6d4b\u6307\u6807\u4f53\u7cfb<\/h3>\n
    • \u68c0\u7d22\u5c42：MRR@10\u3001NDCG@10\u3001Recall@5\/10\/20；<\/li>\n
    • \u6838\u5fc3\u7b54\u6848\u5c42：\u4e25\u683c\u5173\u952e\u53ec\u56deVstrictV_{\\\\text{strict}}<\/span><\/span>V<\/span><\/span>strict<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>（\u4e3b\u6307\u6807）\u3001\u52a0\u6743\u53ec\u56de\u3001\u5e7b\u89c9\u7387；<\/li>\n
    • \u4e8b\u5b9e\u5fe0\u5b9e\u5c42：HHEM2.1\u9010\u53e5\u4e3b\u5f20\u6821\u9a8c，\u533a\u5206\u751f\u6210\u5185\u5bb9\u662f\u5426\u6709\u539f\u6587\u652f\u6491；<\/li>\n
    • RAGAS\u4ee3\u7406\u6307\u6807：\u4fbf\u4e8e\u6a2a\u5411\u5bf9\u6bd4\u901a\u7528RAG\u5de5\u4f5c；<\/li>\n
    • \u8fd0\u7ef4\u4e13\u7528\u6307\u6807：\u6545\u969c\u94fe\u8def\u5b8c\u6574\u5ea6\u3001\u5f15\u7528\u7cbe\u786e\u7387；<\/li>\n
    • \u8f85\u52a9QA\u6307\u6807：Exact Match\u3001Token F1\u3001\u8bed\u4e49\u51c6\u786e\u7387Acc\u3002<\/li>\n

      4.3 \u8bc4\u6d4b\u6253\u5206\u89c4\u5219<\/h3>\n

      \u751f\u6210\u6a21\u578b\u7edf\u4e00\u4f7f\u7528GPT-5.4（ARGO\u7f51\u5173），\u8bc4\u5224\u6a21\u578b\u56fa\u5b9a\u9009\u7528\u4e0d\u540c\u5382\u5546Claude Opus\u907f\u514d\u81ea\u504f\u597d\u504f\u5dee，Gemini\u4e8c\u6b21\u4ea4\u53c9\u6821\u9a8c；
      \n\u7edf\u8ba1\u91c7\u752895%\u914d\u5bf9bootstrap\u7f6e\u4fe1\u533a\u95f4，10000\u6b21\u91cd\u91c7\u6837；\u591a\u7ec4\u5bf9\u6bd4\u4f7f\u7528Holm\/Bonferroni\u591a\u91cd\u68c0\u9a8c\u6821\u6b63\u63a7\u5236\u5047\u9633\u6027\u3002<\/p>\n

      \u4e94\u3001\u5b9e\u9a8c\u7ed3\u679c\u4e0e\u6d88\u878d\u5206\u6790<\/h2>\n

      5.1 \u5168\u7cfb\u7edf\u6574\u4f53\u6027\u80fd（5\u79cdRAG\u65b9\u6848\u5bf9\u6bd4）<\/h3>\n\n\u7cfb\u7edf\u65b9\u6848\u4e25\u683c\u5173\u952e\u53ec\u56deVstrictV_{\\\\text{strict}}<\/span><\/span>V<\/span><\/span>strict<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>\u5e7b\u89c9\u7387\u8bed\u4e49\u51c6\u786e\u7387Token F1<\/tr>\n\n\n\n\n\n\n
      Naive BM25 \u6734\u7d20RAG<\/td>\n63.8%<\/td>\n11.2%<\/td>\n58.8%<\/td>\n63.1%<\/td>\n<\/tr>\n
      Hybrid \u7a20\u5bc6+BM25<\/td>\n65.5%<\/td>\n9.4%<\/td>\n65.0%<\/td>\n73.1%<\/td>\n<\/tr>\n
      Agent \u65e0\u56fe\u8c31<\/td>\n66.1%<\/td>\n7.9%<\/td>\n60.6%<\/td>\n67.1<\/td>\n<\/tr>\n
      Graph \u65e0\u7ea0\u9519\u5faa\u73af<\/td>\n69.1%<\/td>\n11.3%<\/td>\n61.9%<\/td>\n69.2<\/td>\n<\/tr>\n
      Agentic GraphRAG（\u5b8c\u6574APS-RAG）<\/td>\n70.3%<\/td>\n8.7%<\/td>\n64.1%<\/td>\n71.2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u7ed3\u8bba：\u6240\u6709\u589e\u5f3a\u65b9\u6848\u5747\u4f18\u4e8e\u6734\u7d20BM25；\u5b8c\u6574\u7cfb\u7edf\u53d6\u5f97\u6700\u9ad8\u5173\u952e\u53ec\u56de，\u7ea0\u9519\u5faa\u73af\u663e\u8457\u964d\u4f4e\u5e7b\u89c9\u3002<\/p>\n

      5.2 \u68c0\u7d22\u6307\u6807\u5bf9\u6bd4<\/h3>\n\n\u7cfb\u7edfMRR@10NDCG@10Recall@5Recall@10Recall@20<\/tr>\n\n\n\n\n\n\n\n
      Naive<\/td>\n80.7<\/td>\n69.6<\/td>\n63.5<\/td>\n67.3<\/td>\n71.2<\/td>\n<\/tr>\n
      Hybrid<\/td>\n89.0<\/td>\n73.6<\/td>\n62.6<\/td>\n70.4<\/td>\n76.3<\/td>\n<\/tr>\n
      Agent<\/td>\n83.8<\/td>\n71.0<\/td>\n67.8<\/td>\n76.5<\/td>\n74.0<\/td>\n<\/tr>\n
      Graph<\/td>\n87.0<\/td>\n73.3<\/td>\n61.9<\/td>\n69.1<\/td>\n76.7<\/td>\n<\/tr>\n
      Full APS-RAG<\/td>\n85.6<\/td>\n72.2<\/td>\n62.1<\/td>\n69.1<\/td>\n75.1<\/td>\n<\/tr>\n
      \u7a20\u5bc6+BM25\u6df7\u5408\u68c0\u7d22\u4e00\u9636\u6392\u5e8f\u6548\u679c\u6700\u4f18，\u5b8c\u6574\u7cfb\u7edf\u4f9d\u9760\u7ea0\u9519\u56de\u8def\u5f25\u8865\u6392\u5e8f\u5c0f\u5e45\u52a3\u52bf\u3002<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      5.3 \u6838\u5fc3\u7ec4\u4ef6\u6d88\u878d\u5b9e\u9a8c（19\u9053\u9ad8\u96be\u5ea6\u5b50\u96c6）<\/h3>\n

      \u79fb\u9664\u5404\u7ec4\u4ef6\u540e\u7684\u4e25\u683c\u53ec\u56de\u53d8\u5316：<\/p>\n\n\u914d\u7f6e\u4e25\u683c\u53ec\u56de\u5e7b\u89c9\u7387\u53ec\u56de\u53d8\u5316&95%\u7f6e\u4fe1\u533a\u95f4<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n
      \u5b8c\u6574\u7cfb\u7edf<\/td>\n64.5%<\/td>\n7.7%<\/td>\n\u2014<\/td>\n<\/tr>\n
      \u79fb\u9664\u7ea0\u9519\u5faa\u73af<\/td>\n57.9%<\/td>\n7.1%<\/td>\n-6.6 [-21.4, 6.2]<\/td>\n<\/tr>\n
      \u79fb\u9664\u77e5\u8bc6\u56fe\u8c31<\/td>\n58.1%<\/td>\n8.2%<\/td>\n-6.4 [-20.7, 5.0]<\/td>\n<\/tr>\n
      \u56fa\u5b9aRRF\u6743\u91cd<\/td>\n61.0%<\/td>\n9.5%<\/td>\n-3.5 [-16.8, 6.7]<\/td>\n<\/tr>\n
      \u79fb\u9664\u9884\u6821\u9a8c\u95e8\u63a7<\/td>\n64.9%<\/td>\n11.4%<\/td>\n+0.4 [-15.8, 10.9]<\/td>\n<\/tr>\n
      \u66ff\u6362\u91cd\u6392\u5668\u4e3aLLM\u6253\u5206<\/td>\n31.8%<\/td>\n30.0%<\/td>\n-32.8 [-47.4, -19.1]（p<1e-4\u663e\u8457）<\/td>\n<\/tr>\n
      \u79fb\u9664\u65f6\u5e8f\u89e3\u6790<\/td>\n57.9%<\/td>\n6.9%<\/td>\n-6.7 [-20.7, 3.9]<\/td>\n<\/tr>\n
      \u79fb\u9664\u540c\u4e49\u8bcd\u6269\u5c55<\/td>\n58.2%<\/td>\n9.1%<\/td>\n-6.3 [-19.7, 3.9]<\/td>\n<\/tr>\n
      \u79fb\u9664\u7f29\u5199\u5c55\u5f00<\/td>\n58.2%<\/td>\n9.4%<\/td>\n-6.4 [-18.9, 2.9]<\/td>\n<\/tr>\n
      \u79fb\u9664\u591a\u67e5\u8be2\u751f\u6210<\/td>\n61.8%<\/td>\n10.0%<\/td>\n-2.8 [-15.8, 6.4]<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u5173\u952e\u7ed3\u8bba<\/h4>\n
    • \u8de8\u7f16\u7801\u5668\u91cd\u6392\u662f\u51b3\u5b9a\u6027\u6838\u5fc3\u7ec4\u4ef6，\u79fb\u9664\u540e\u53ec\u56de\u66b4\u8dcc32.8%，\u591a\u91cd\u68c0\u9a8c\u4e0b\u5dee\u5f02\u9ad8\u5ea6\u663e\u8457；<\/li>\n
    • \u7ea0\u9519\u56de\u8def\u3001\u77e5\u8bc6\u56fe\u8c31\u3001\u65f6\u5e8f\u89e3\u6790\u3001\u540c\u4e49\u8bcd\u6269\u5c55\u5747\u5e26\u6765\u6b63\u5411\u589e\u76ca，\u4f46\u7f6e\u4fe1\u533a\u95f4\u8de80，\u6837\u672c\u91cf\u4e0d\u8db3\u4e0b\u65e0\u7edf\u8ba1\u663e\u8457\u6027；<\/li>\n
    • \u9884\u6821\u9a8c\u95e8\u63a7\u4e0d\u5f71\u54cd\u53ec\u56de，\u4f46\u5927\u5e45\u63d0\u5347\u56de\u7b54\u5fe0\u5b9e\u5ea6\u3001\u5e7b\u89c9\u4e0a\u534747%，\u5c5e\u4e8e\u4f4e\u6210\u672c\u4fdd\u771f\u7ec4\u4ef6\u3002<\/li>\n

      5.4 \u7ec6\u5206\u96be\u5ea6\u6027\u80fd\u5dee\u5f02<\/h3>\n
        \n
      • Easy\u7b80\u5355（15\u9898）：\u4e25\u683c\u53ec\u56de77.9%，\u5e7b\u89c9\u4ec53.4%；<\/li>\n
      • Medium\u4e2d\u7b49（24\u9898）：\u4e25\u683c\u53ec\u56de64.5%，\u5e7b\u89c910.1%；<\/li>\n
      • Hard\u9ad8\u96be（10\u9898）：\u4e25\u683c\u53ec\u56de72.6%，\u5e7b\u89c921.6%；
        \n\u4e2d\u7b49\u96be\u5ea6\u6837\u672c\u8bc1\u636e\u5206\u6563\u5728\u591a\u4efd\u6587\u6863，\u6700\u5bb9\u6613\u51fa\u73b0\u4fe1\u606f\u7f3a\u5931；\u9ad8\u96be\u591a\u4e3a\u89c4\u8303\u624b\u518c\u957f\u63a8\u7406，\u5e7b\u89c9\u7387\u6700\u9ad8\u3002<\/li>\n<\/ul>\n

        5.5 \u77e5\u8bc6\u56fe\u8c31\u9002\u7528\u573a\u666f\u5206\u6790<\/h3>\n

        \u56fe\u8c31\u5bf9\u6545\u969c\u6392\u67e5\u3001\u591a\u8df3\u56e0\u679c\u7c7b\u67e5\u8be2\u63d0\u5347\u660e\u663e；\u4f46\u4f1a\u7a00\u91ca\u901a\u7528\u67e5\u8be2\u6392\u5e8f\u7cbe\u5ea6，\u56e0\u6b64\u91c7\u7528\u81ea\u9002\u5e94\u6743\u91cd\u52a8\u6001\u5e73\u8861\u6536\u76ca\u4e0e\u635f\u8017\u3002\u4ec5\u642d\u914d\u7ea0\u9519\u5faa\u73af\u65f6，\u56fe\u8c31\u7684\u5b8c\u6574\u6545\u969c\u94fe\u8def\u4ef7\u503c\u624d\u80fd\u5145\u5206\u53d1\u6325；\u5355\u72ec\u5f00\u542f\u56fe\u8c31\u65e0\u7ea0\u9519\u4f1a\u63d0\u5347\u5e7b\u89c9\u7387\u81f311.3%\u3002<\/p>\n

        5.6 \u5d4c\u5165\u6a21\u578b\u3001\u7ea0\u9519\u8f6e\u6b21\u3001\u751f\u6210\u6a21\u578b\u6d88\u878d<\/h3>\n
      • \u5d4c\u5165\u5bf9\u6bd4：bge-m3 > e5-large-v2 > all-MiniLM > \u9886\u57df\u4e13\u7528accphysbert；\u6df7\u5408\u68c0\u7d22\u53ef\u7f29\u5c0f\u5dee\u8ddd；<\/li>\n
      • \u7ea0\u9519\u8f6e\u6b21：1\u8f6e\u8fed\u4ee3\u5373\u53ef\u83b7\u5f97\u7edd\u5927\u90e8\u5206\u4fdd\u771f\u6536\u76ca，2\u8f6e\u4ee5\u4e0a\u5ef6\u8fdf\u5927\u5e45\u4e0a\u5347\u4f46\u6027\u80fd\u63d0\u5347\u6781\u5c0f，\u5de5\u7a0b\u90e8\u7f72\u9650\u5b9a2\u8f6e\u6700\u4f18；<\/li>\n
      • \u751f\u6210\u6a21\u578b\u5bf9\u6bd4：\u53ec\u56de\u533a\u95f458.170.3\u5dee\u5f02\u4e0d\u5927，\u4f46\u5e7b\u89c9\u7387\u8de8\u5ea65.6%<\/sub>30.6，\u751f\u6210\u6a21\u578b\u5fe0\u5b9e\u5ea6\u9009\u578b\u4f18\u5148\u7ea7\u9ad8\u4e8e\u53ec\u56de\u80fd\u529b\u3002<\/li>\n

        \u516d\u3001\u7cfb\u7edf\u5de5\u7a0b\u843d\u5730\u5efa\u8bae<\/h2>\n
      • \u8d44\u6e90\u6295\u5165\u4f18\u5148\u7ea7：\u8de8\u7f16\u7801\u5668\u91cd\u6392 > \u81ea\u9002\u5e94\u4e09\u8def\u878d\u5408 > \u7ea0\u9519\u81ea\u6821\u9a8c\u95e8\u63a7 > \u77e5\u8bc6\u56fe\u8c31；<\/li>\n
      • \u6545\u969c\u573a\u666f\u5fc5\u987b\u542f\u7528\u56fe\u8c31+\u7ea0\u9519\u5faa\u73af，\u666e\u901a\u8bbe\u5907\u53c2\u6570\u67e5\u8be2\u4ec5\u7a20\u5bc6+BM25\u5373\u53ef\u6ee1\u8db3\u9700\u6c42；<\/li>\n
      • \u751f\u4ea7\u73af\u5883\u7ea0\u9519\u8fed\u4ee3\u4e0a\u9650\u8bbe\u4e3a2\u8f6e，\u5e73\u8861\u5ef6\u8fdf\u4e0e\u51c6\u786e\u6027；<\/li>\n
      • \u5b9e\u65f6EPICS\u8bbe\u5907\u6570\u636e\u901a\u8fc7MCP\u9694\u79bb，\u4e0d\u7eb3\u5165\u9884\u7d22\u5f15，\u6309\u9700\u52a8\u6001\u8c03\u7528；<\/li>\n
      • \u5185\u90e8\u77e5\u8bc6\u5e93\u6301\u7eed\u8fed\u4ee3\u65f6，\u914d\u5957APS-Bench\u5b9a\u671f\u56de\u5f52\u6d4b\u8bd5，\u76d1\u63a7\u7248\u672c\u9000\u5316\u3002<\/li>\n

        \u4e03\u3001\u7814\u7a76\u5c40\u9650\u6027<\/h2>\n
      • \u8bc4\u6d4b\u4ec5\u57fa\u4e8eAPS\u5355\u88c5\u7f6e\u6570\u636e，\u7ed3\u8bba\u63a8\u5e7f\u81f3\u5176\u4ed6\u52a0\u901f\u5668\u8bbe\u65bd\u4ecd\u9700\u9a8c\u8bc1；<\/li>\n
      • \u57fa\u51c6\u95ee\u7b54\u7531LLM\u81ea\u52a8\u751f\u6210，\u867d\u4eba\u5de5\u62bd\u6837\u6821\u9a8c\u4f46\u65e0\u6cd5\u5b8c\u5168\u7b49\u540c\u4e8e\u771f\u5b9e\u64cd\u4f5c\u5458\u63d0\u95ee\u5206\u5e03；<\/li>\n
      • MCP\u5b9e\u65f6\u5de5\u5177\u5c42\u672a\u7eb3\u5165\u5b9a\u91cf\u8bc4\u6d4b，\u4ec5\u5b9a\u6027\u9a8c\u8bc1\u529f\u80fd；<\/li>\n
      • \u6837\u672c\u91cf50\u8f83\u5c0f，\u9664\u91cd\u6392\u5668\u5916\u5176\u4f59\u7ec4\u4ef6\u589e\u76ca\u65e0\u7edf\u8ba1\u663e\u8457\u6027；<\/li>\n
      • \u5f15\u7528\u7cbe\u786e\u738773%，\u90e8\u5206\u56de\u7b54\u9644\u5e26\u65e0\u5173\u68c0\u7d22\u7247\u6bb5，\u540e\u7eed\u53ef\u589e\u52a0\u5f15\u6587\u8fc7\u6ee4\u6a21\u5757\u3002<\/li>\n

        \u516b\u3001\u7ed3\u8bba<\/h2>\n

        \u672c\u6587\u642d\u5efaAPS-RAG\u9762\u5411\u52a0\u901f\u5668\u8fd0\u7ef4\u7ea0\u9519\u5f0f\u667a\u80fd\u6df7\u5408RAG\u5e73\u53f0，\u878d\u5408\u7a20\u5bc6\/\u7a00\u758f\/\u77e5\u8bc6\u56fe\u8c31\u4e09\u8def\u81ea\u9002\u5e94\u68c0\u7d22\u3001LangGraph\u7ea0\u9519\u667a\u80fd\u56de\u8def\u3001MCP\u5b9e\u65f6\u8bbe\u5907\u5de5\u5177\u5c42，\u914d\u5957\u5b8c\u6574\u8fd0\u7ef4\u4e13\u7528\u8bc4\u6d4b\u57fa\u51c6APS-Bench\u3002
        \n\u6d88\u878d\u5b9e\u9a8c\u8bc1\u660e\u8de8\u7f16\u7801\u5668\u91cd\u6392\u662f\u7cfb\u7edf\u6027\u80fd\u6838\u5fc3\u4fdd\u969c；\u77e5\u8bc6\u56fe\u8c31\u3001\u8fed\u4ee3\u7ea0\u9519\u53ef\u5c0f\u5e45\u63d0\u5347\u6545\u969c\u7c7b\u95ee\u9898\u5b8c\u5907\u5ea6\u3001\u964d\u4f4e\u5e7b\u89c9\u3002\u6574\u5957\u4ee3\u7801\u3001\u8bc4\u6d4b\u6570\u636e\u96c6\u3001MCP\u68c0\u7d22\u6280\u80fd\u5168\u90e8\u5f00\u6e90，\u53ef\u4e3a\u5404\u7c7b\u5927\u578b\u79d1\u5b66\u88c5\u7f6e\u6784\u5efa\u81ea\u7136\u8bed\u8a00\u8fd0\u7ef4\u77e5\u8bc6\u5e93\u63d0\u4f9b\u53ef\u76f4\u63a5\u590d\u7528\u7684\u5b8c\u6574\u5de5\u7a0b\u65b9\u6848\u3002<\/p>\n

        \u9644\u5f55 \u914d\u5957\u8d44\u6e90\u4e0e\u90e8\u7f72\u811a\u672c<\/h2>\n

        1. \u8d44\u6e90\u4e0b\u8f7d\u94fe\u63a5<\/h3>\n
      • \u8bba\u6587HTML\u539f\u6587：https:\/\/arxiv.org\/html\/2607.24663v1<\/li>\n
      • \u8bba\u6587PDF：https:\/\/arxiv.org\/pdf\/2607.24663<\/li>\n
      • APS-RAG\u5b8c\u6574\u5f00\u6e90\u4ee3\u7801：\u5185\u90e8GitLab\u5f00\u6e90（\u6587\u4e2d\u63d0\u4f9b\u83b7\u53d6\u6e20\u9053）<\/li>\n
      • APS-Bench\u5b8c\u657450\u9053\u57fa\u51c6\u6570\u636e\u96c6JSON：\u968f\u9879\u76ee\u9644\u4ef6\u53d1\u5e03<\/li>\n
      • MCP\u56db\u7ec4\u670d\u52a1\u914d\u7f6e\u6587\u4ef6\u3001\u542f\u52a8\u811a\u672c<\/li>\n
      • \u5168\u5957\u8bc4\u6d4b\u81ea\u52a8\u5316Python\u811a\u672c（\u53ec\u56de\/\u5e7b\u89c9\/F1\u6279\u91cf\u8ba1\u7b97）<\/li>\n
      • \u8865\u5145\u56fe\u8868\u3001\u5ef6\u8fdf\u7edf\u8ba1\u8868\u3001\u5d4c\u5165\u6a21\u578b\u5bf9\u6bd4\u6570\u636e\u8868<\/li>\n

        2. MCP\u670d\u52a1\u542f\u52a8\u914d\u7f6e\u793a\u4f8b（S1\u8865\u5145\u6750\u6599）<\/h3>\n

        \u56db\u7ec4FastMCP\u670d\u52a1\u914d\u7f6e\u7247\u6bb5：<\/p>\n

        {<\/span>
        \n "mcpServers"<\/span>:<\/span> {<\/span>
        \n "archiver"<\/span>:<\/span> {<\/span>
        \n "command"<\/span>:<\/span> "python"<\/span>,<\/span>
        \n "args"<\/span>:<\/span> [<\/span>"archiver_mcp_server.py"<\/span>]<\/span>,<\/span>
        \n "transport"<\/span>:<\/span> "stdio"<\/span>
        \n }<\/span>,<\/span>
        \n "graph"<\/span>:<\/span> {<\/span>
        \n "command"<\/span>:<\/span> "python"<\/span>,<\/span>
        \n "args"<\/span>:<\/span> [<\/span>"graph_mcp_server.py"<\/span>]<\/span>,<\/span>
        \n "compute"<\/span>:<\/span> {<\/span>"calculator"<\/span>,<\/span>"code_executor"<\/span>,<\/span>"data_analysis"<\/span>}<\/span>,<\/span>
        \n "image"<\/span>:<\/span> {<\/span>"image_search"<\/span>}<\/span>
        \n }<\/span>
        \n }<\/span>
        \n}<\/span><\/p>\n

        \u53ef\u7528\u5de5\u5177：channel_find\u3001channel_read\u3001graph_search\u3001\u8ba1\u7b97\u5668\u3001\u6c99\u76d2\u6570\u636e\u5206\u6790\u3001\u56fe\u6587\u68c0\u7d22\u3002<\/p>\n

        3. \u4e00\u952e\u90e8\u7f72\u542f\u52a8\u811a\u672c（Linux\/Kali\/\u670d\u52a1\u5668\u901a\u7528）<\/h3>\n

        # 1. \u62c9\u53d6\u4ee3\u7801\u4ed3\u5e93<\/span>
        \ngit<\/span> clone https:\/\/\u5185\u90e8\u9879\u76ee\u4ed3\u5e93\u5730\u5740
        \ncd<\/span> aps-rag
        \n# 2. \u5b89\u88c5\u4f9d\u8d56<\/span>
        \npip install<\/span> -r<\/span> requirements.txt -i<\/span> https:\/\/pypi.tuna.tsinghua.edu.cn\/simple
        \n# 3. \u542f\u52a8Neo4j\u3001Elasticsearch\u3001Qdrant\u5bb9\u5668<\/span>
        \ndocker-compose<\/span> up -d<\/span> vector es neo4j
        \n# 4. \u6267\u884c\u589e\u91cf\u7d22\u5f15\u6784\u5efa（\u6bcf\u65e5\u5b9a\u65f6\u4efb\u52a1）<\/span>
        \npython ingest_pipeline.py –daily-diff-update
        \n# 5. \u542f\u52a8MCP\u540e\u53f0\u670d\u52a1<\/span>
        \npython mcp_archiver.py &<\/span>
        \npython mcp_graph.py &<\/span>
        \n# 6. \u542f\u52a8APS-RAG\u4e3b\u670d\u52a1<\/span>
        \npython main_server.py –ip<\/span> 0.0<\/span>.0.0 –port<\/span> 8080<\/span>
        \n# 7. \u6279\u91cf\u8fd0\u884cAPS-Bench\u8bc4\u6d4b<\/span>
        \npython eval_runner.py –bench<\/span> APS-Bench.json –output<\/span> result.csv<\/p>\n

        4. \u7cfb\u7edf\u5ef6\u65f6\u53c2\u8003（\u8865\u5145S2）<\/h3>\n\n\u89c4\u5212\u5927\u6a21\u578b\u7aef\u5230\u5e73\u5747\u8017\u65f6\u68c0\u7d22\u8017\u65f6\u91cd\u6392\u8017\u65f6\u751f\u6210\u8017\u65f6<\/tr>\n\n\n\n\n\n
        Gemini 2.5 Flash<\/td>\n88.8s<\/td>\n65.1s<\/td>\n18.2s<\/td>\n6.5s<\/td>\n<\/tr>\n
        GPT-5.4<\/td>\n105.9s<\/td>\n60.0s<\/td>\n18.8s<\/td>\n8.5s<\/td>\n<\/tr>\n
        Claude Opus 4.6<\/td>\n140.4s<\/td>\n109.7s<\/td>\n18.8s<\/td>\n8.5s<\/td>\n<\/tr>\n
        \u68c0\u7d22\u591a\u8def\u5e76\u884c\u5360\u7528\u7edd\u5927\u90e8\u5206\u5ef6\u8fdf，\u7ea0\u9519\u8f6e\u6b21\u4f1a\u663e\u8457\u62c9\u957f\u8017\u65f6\u3002<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        5. \u6570\u636e\u96c6JSON\u6807\u51c6Schema（S6）<\/h3>\n

        \u7edf\u4e00\u5206\u5757\u5b58\u50a8\u7ed3\u6784，\u6240\u6709\u6570\u636e\u6e90\u5f52\u4e00\u5316\u4e3a\u540c\u4e00\u5b57\u6bb5\u6807\u51c6：<\/p>\n

        {<\/span>
        \n "$schema"<\/span>:<\/span> "corpus_v2"<\/span>,<\/span>
        \n "doc_id"<\/span>:<\/span> "bely_10635__chunk_0"<\/span>,<\/span>
        \n "title"<\/span>:<\/span> "9-BM\u4e8c\u7ef4\u626b\u63cfPV\u914d\u7f6e"<\/span>,<\/span>
        \n "collection"<\/span>:<\/span> "bely_logbook"<\/span>,<\/span>
        \n "system"<\/span>:<\/span> "9-BM\u5149\u675f\u7ebf"<\/span>,<\/span>
        \n "creation_datetime"<\/span>:<\/span> "2026-02-06T14:34:06"<\/span>,<\/span>
        \n "content"<\/span>:<\/span> "\u626b\u63cf\u76f8\u5173\u64cd\u4f5c\u8bb0\u5f55\u3001PV\u53c2\u6570\u8bf4\u660e"<\/span>
        \n}<\/span><\/p>\n

        6. \u8bc4\u6d4b\u6307\u6807\u8ba1\u7b97\u811a\u672c\u7247\u6bb5（S5）<\/h3>\n

        Token F1\u3001\u8bed\u4e49Accuracy\u8ba1\u7b97\u6838\u5fc3\u4ee3\u7801<\/h4>\n

        def<\/span> compute_f1<\/span>(<\/span>pred_tokens,<\/span> gold_tokens)<\/span>:<\/span>
        \n common =<\/span> set<\/span>(<\/span>pred_tokens)<\/span> &<\/span> set<\/span>(<\/span>gold_tokens)<\/span>
        \n p =<\/span> len<\/span>(<\/span>common)<\/span>\/<\/span>len<\/span>(<\/span>pred_tokens)<\/span> if<\/span> pred_tokens else<\/span> 0<\/span>
        \n r =<\/span> len<\/span>(<\/span>common)<\/span>\/<\/span>len<\/span>(<\/span>gold_tokens)<\/span> if<\/span> gold_tokens else<\/span> 0<\/span>
        \n return<\/span> 2<\/span>*<\/span>p*<\/span>r\/<\/span>(<\/span>p+<\/span>r)<\/span> if<\/span> p+<\/span>r><\/span>0<\/span> else<\/span> 0<\/span><\/p>\n

        def<\/span> judge_accuracy<\/span>(<\/span>question,<\/span> gold_ans,<\/span> pred_ans)<\/span>:<\/span>
        \n # \u8c03\u7528\u72ec\u7acb\u8bc4\u5224LLM\u8fd4\u56de0\/1\u8bed\u4e49\u5339\u914d<\/span>
        \n judge_prompt =<\/span> f"""\u95ee\u9898：<\/span>{<\/span>question}<\/span><\/span>
        \n\u6807\u51c6\u7b54\u6848：<\/span>{<\/span>gold_ans}<\/span><\/span>
        \n\u6a21\u578b\u56de\u7b54：<\/span>{<\/span>pred_ans}<\/span><\/span>
        \n\u4ec5\u8f93\u51fa1（\u5305\u542b\u6b63\u786e\u6838\u5fc3\u4fe1\u606f）\u62160（\u5173\u952e\u4fe1\u606f\u7f3a\u5931\/\u9519\u8bef）"""<\/span><\/span>
        \n resp =<\/span> judge_llm(<\/span>judge_prompt)<\/span>
        \n return<\/span> int<\/span>(<\/span>resp.<\/span>strip(<\/span>)<\/span>)<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

        \u9762\u5411\u79d1\u5b66\u88c5\u7f6e\u7684\u7ea0\u9519\u5f0f\u667a\u80fd\u6df7\u5408RAG\u4e0e\u8fd0\u7ef4\u5b9e\u6d4b\u8bc4\u6d4b\u4f53\u7cfb
        \narXiv\u539f\u6587\u94fe\u63a5：https:\/\/arxiv.org\/html\/2607.24663v1
        \n\u6458\u8981
        \n\u5927\u578b\u79d1\u5b66\u7528\u6237\u8bbe\u65bd\u6570\u5341\u5e74\u8fd0\u7ef4\u77e5\u8bc6\u5206\u6563\u5b58\u50a8\u4e8e\u7535\u5b50\u65e5\u5fd7\u3001\u6280\u672f\u624b\u518c\u3001\u5185\u90e8\u7ef4\u57fa\u3001\u8fd0\u7ef4\u804a\u5929\u3001\u5de5\u5355\u3001\u8bbe\u5907\u505c\u673a\u8bb0\u5f55\u3001\u5b9e\u65f6\u63a7\u5236\u7cfb\u7edf\u7b49\u5f02\u6784\u6570\u636e\u6e90，\u4f20\u7edf\u5355\u4e00\u68c0\u7d22\u7cfb\u7edf\u65e0\u6cd5\u7edf\u4e00\u6574\u5408\u3002\u672c\u6587\u8bbe\u8ba1\u5e76\u843d\u5730APS-RAG\u5e73\u53f0\u2014\u2014\u9762\u5411\u5148\u8fdb\u5149\u5b50\u6e90（APS）\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u7cfb\u7edf，\u652f\u6301\u81ea\u7136\u8bed\u8a00\u67e5\u8be2\u5168\u673a\u6784<\/p>\n","protected":false},"author":2,"featured_media":86438,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[50,44],"topic":[],"class_list":["post-86444","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-50","tag-44"],"yoast_head":"\n\u9762\u5411\u79d1\u5b66\u88c5\u7f6e\u7684\u7ea0\u9519\u5f0f\u667a\u80fd\u6df7\u5408RAG\u4e0e\u8fd0\u7ef4\u5b9e\u6d4b\u8bc4\u6d4b\u4f53\u7cfb - 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