{"id":26007,"date":"2025-05-23T09:59:09","date_gmt":"2025-05-23T01:59:09","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=26007"},"modified":"2025-05-23T09:59:09","modified_gmt":"2025-05-23T01:59:09","slug":"rag%e7%b3%bb%e5%88%97%ef%bc%9a%e7%b3%bb%e7%bb%9f%e8%af%84%e4%bc%b0-%e4%ba%94%e4%b8%aa%e4%b8%bb%e6%b5%81%e8%af%84%e4%bc%b0%e6%8c%87%e6%a0%87%e8%af%a6%e8%a7%a3","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2025\/05\/23\/26007\/","title":{"rendered":"RAG\u7cfb\u5217\uff1a\u7cfb\u7edf\u8bc4\u4f30 – \u4e94\u4e2a\u4e3b\u6d41\u8bc4\u4f30\u6307\u6807\u8be6\u89e3"},"content":{"rendered":"
\u672c\u6587\u6211\u4eec\u5e26\u5927\u5bb6\u4e86\u89e3 RAG \u7cfb\u7edf\u7684\u8bc4\u4f30\u6307\u6807\u3001\u8bc4\u4f30\u65b9\u6cd5\u4ee5\u53ca\u4e3b\u6d41\u7684\u8bc4\u4f30\u7cfb\u7edf\u3002<\/div>\n
\n
\n

\"\"<\/p>\n

\u5f15\u8a00<\/h3>\n

\u5728\u00a0RAG\u7cfb\u5217\uff1a\u4e00\u6587\u8ba9\u4f60\u7531\u6d45\u5230\u6df1\u641e\u61c2RAG\u5b9e\u73b0\u4e2d\uff0c\u6211\u4eec\u5c06 RAG \u7cfb\u7edf\u4e3b\u8981\u5206\u4e3a\u95ee\u9898\u7406\u89e3\u3001\u68c0\u7d22\u53ec\u56de\u4ee5\u53ca\u7b54\u6848\u751f\u6210\u8fd9\u4e09\u4e2a\u6a21\u5757\uff0c\u56e0\u6b64\u5bf9 RAG \u7cfb\u7edf\u7684\u8bc4\u4f30\u4e5f\u662f\u56f4\u7ed5\u95ee\u9898\uff08Question\uff09<\/strong>\u3001\u68c0\u7d22\u5230\u7684\u4e0a\u4e0b\u6587\uff08Retrieved Context\uff09<\/strong>\u3001\u5b9e\u9645\u7b54\u6848\uff08Actual Answer\uff09<\/strong>\u3001\u53c2\u8003\u7b54\u6848\uff08Reference Answer\uff09<\/strong>\u8fd9\u56db\u4e2a\u7ef4\u5ea6\u5f00\u5c55\uff0c\u901a\u8fc7\u8861\u91cf\u8fd9\u56db\u4e2a\u7ef4\u5ea6\u4e4b\u95f4\u7684\u76f8\u5173\u6027\u6765\u8bc4\u4f30 RAG \u7cfb\u7edf\u7684\u6709\u6548\u6027\u3002<\/p>\n

\"\u753b\u677f\"<\/p>\n

\u4e0b\u9762\u6211\u4eec\u5bf9\u6bcf\u4e2a\u6307\u6807\u4e00\u4e00\u5c55\u5f00\u8bb2\u89e3\u3002<\/p>\n

\u8bc4\u4f30\u6307\u6807<\/h3>\n

\u4e0a\u4e0b\u6587\u53ec\u56de\u7387\uff08Context Recall\uff09<\/h4>\n

\u8861\u91cf\u68c0\u7d22\u5230\u7684\u4e0a\u4e0b\u6587\u662f\u5426\u8986\u76d6\u53c2\u8003\u7b54\u6848\u6240\u9700\u7684\u6240\u6709\u5173\u952e\u4fe1\u606f\uff0c\u907f\u514d\u9057\u6f0f\u5173\u952e\u4fe1\u606f\u3002<\/p>\n

\u53d6\u503c\u5728 0 \u5230 1 \u4e4b\u95f4\uff0c\u6570\u503c\u8d8a\u9ad8\u8868\u793a\u68c0\u7d22\u5230\u7684\u4e0a\u4e0b\u6587\u8986\u76d6\u8d8a\u5168\u9762\u3002<\/p>\n

\u8ba1\u7b97\u516c\u5f0f\uff1a\u4e0a\u4e0b\u6587\u53ec\u56de\u7387 = \u4e0a\u4e0b\u6587\u8986\u76d6\u7684\u5173\u952e\u4fe1\u606f\u6570\u91cf \/ \u53c2\u8003\u7b54\u6848\u4e2d\u5173\u952e\u4fe1\u606f\u603b\u6570\u91cf\u3002<\/strong><\/p>\n

\u4f8b\u5982\uff0c\u53c2\u8003\u7b54\u6848\u9700\u8981 5 \u4e2a\u5173\u952e\u4fe1\u606f\uff0c\u82e5\u68c0\u7d22\u5230\u7684\u4e0a\u4e0b\u6587\u8986\u76d6\u5176\u4e2d 4 \u4e2a\u5173\u952e\u4fe1\u606f\uff0c\u5219\u4e0a\u4e0b\u6587\u53ec\u56de\u7387\u4e3a 0.8\u3002<\/p>\n

\u63d0\u5347\u65b9\u6cd5\uff1a<\/strong><\/p>\n

    \n
  1. \u95ee\u9898\u4f18\u5316\u4e0e\u6269\u5c55\uff1a<\/li>\n<\/ol>\n

    a.\u901a\u8fc7 LLM \u5bf9\u539f\u95ee\u9898\u8fdb\u884c\u6539\u5199\u6216\u6269\u5199\uff0c\u751f\u6210\u591a\u4e2a\u76f8\u5173\u95ee\u9898\u6269\u5927\u68c0\u7d22\u8303\u56f4\uff1b<\/p>\n

    b .\u5e94\u7528 HyDE\uff08\u5047\u8bbe\u6027\u6587\u6863\u5d4c\u5165\uff09\u751f\u6210\u5047\u8bbe\u6027\u7b54\u6848\u4f5c\u4e3a\u67e5\u8be2\u5411\u91cf\uff0c\u63d0\u5347\u4e0a\u4e0b\u6587\u53ec\u56de\u7387\u3002<\/p>\n

      \n
    1. \u5206\u5757\u7b56\u7565\u4f18\u5316\uff1a<\/li>\n<\/ol>\n

      a.\u6839\u636e\u6587\u6863\u7c7b\u578b\u8c03\u6574\u5206\u5757\u5927\u5c0f\u548c\u76f8\u90bb\u5206\u5757\u7684\u91cd\u53e0\u5927\u5c0f\uff1b<\/p>\n

      b.\u4e3a\u6bcf\u4e2a\u6587\u672c\u5757\u6dfb\u52a0\u663e\u5f0f\u6807\u9898\u6216\u80cc\u666f\uff0c\u63d0\u5347\u8bed\u4e49\u68c0\u7d22\u51c6\u786e\u6027\uff1b<\/p>\n

      c.\u7ed3\u6784\u5316\u6587\u6863\uff0c\u5982\u5c06 PDF \u6587\u4ef6\u5148\u8f6c\u4e3a Markdown \u6587\u4ef6\u518d\u8fdb\u884c\u5206\u5757\uff1b<\/p>\n

      d.\u4f7f\u7528 LLM \u751f\u6210\u4e3b\u9898\u8fde\u8d2f\u7684\u6587\u672c\u5757\uff0c\u66ff\u4ee3\u4f20\u7edf\u9012\u5f52\u5206\u5272\uff0c\u51cf\u5c11\u4e0a\u4e0b\u6587\u65ad\u88c2\u95ee\u9898\u3002<\/p>\n

      3.\u68c0\u7d22\u7b56\u7565\u6539\u8fdb\uff1a<\/p>\n

      a.\u6df7\u5408\u68c0\u7d22\uff0c\u7ed3\u5408\u7a20\u5bc6\u68c0\u7d22\uff08\u5411\u91cf\u641c\u7d22\uff09\u4e0e\u7a00\u758f\u68c0\u7d22\uff08\u5982BM25\uff09\uff0c\u901a\u8fc7\u52a0\u6743\u878d\u5408\uff08\u5982 60% \u7a20\u5bc6 + 40% \u7a00\u758f\uff09\u517c\u987e\u8bed\u4e49\u5173\u8054\u4e0e\u5173\u952e\u8bcd\u5339\u914d\uff0c\u63d0\u5347\u4e0a\u4e0b\u6587\u53ec\u56de\u7387\uff1b<\/p>\n

      b.\u52a8\u6001\u8c03\u6574 Top-K \u5019\u9009\u6587\u6863\u6570\u91cf\uff0c\u6839\u636e\u67e5\u8be2\u590d\u6742\u5ea6\u4f18\u5316\u68c0\u7d22\u7b56\u7565\u3002<\/p>\n

      \u4e0a\u4e0b\u6587\u76f8\u5173\u6027\uff08Context Relevance\uff09<\/h4>\n

      \u8861\u91cf\u68c0\u7d22\u5230\u7684\u4e0a\u4e0b\u6587\u4e0e\u95ee\u9898\u4e4b\u95f4\u7684\u76f8\u5173\u6027\uff0c\u907f\u514d\u5305\u542b\u65e0\u5173\u5197\u4f59\u5185\u5bb9\u3002<\/p>\n

      \u53d6\u503c\u5728 0 \u5230 1 \u4e4b\u95f4\uff0c\u6570\u503c\u8d8a\u9ad8\u8868\u793a\u68c0\u7d22\u5230\u7684\u4e0a\u4e0b\u6587\u76f8\u5173\u6027\u8d8a\u9ad8\u3002<\/p>\n

      \u8ba1\u7b97\u516c\u5f0f\uff1a\u4e0a\u4e0b\u6587\u76f8\u5173\u6027 = \u4e0a\u4e0b\u6587\u4e2d\u4e0e\u95ee\u9898\u76f8\u5173\u7684\u7247\u6bb5\u6570\u91cf \/ \u4e0a\u4e0b\u6587\u4e2d\u7247\u6bb5\u603b\u6570\u91cf\u3002<\/strong><\/p>\n

      \u4f8b\u5982\uff0c\u68c0\u7d22\u5230\u7684\u4e0a\u4e0b\u6587\u603b\u5171\u6709 5 \u4e2a\u7247\u6bb5\uff0c\u4e0e\u95ee\u9898\u76f8\u5173\u7684\u7247\u6bb5\u6709 4 \u4e2a\uff0c\u5219\u4e0a\u4e0b\u6587\u76f8\u5173\u6027\u4e3a 0.8\u3002<\/p>\n

      \u63d0\u5347\u65b9\u6cd5\uff1a<\/strong><\/p>\n

        \n
      1. \u95ee\u9898\u4f18\u5316\u4e0e\u6269\u5c55\uff1a<\/li>\n<\/ol>\n

        a.\u901a\u8fc7 LLM \u5bf9\u539f\u95ee\u9898\u8fdb\u884c\u6539\u5199\u6216\u6269\u5199\uff0c\u751f\u6210\u591a\u4e2a\u76f8\u5173\u95ee\u9898\uff0c\u8986\u76d6\u7528\u6237\u610f\u56fe\u7684\u4e0d\u540c\u8868\u8fbe\u5f62\u5f0f\uff1b<\/p>\n

        b.\u5e94\u7528 HyDE\uff08\u5047\u8bbe\u6027\u6587\u6863\u5d4c\u5165\uff09\u751f\u6210\u5047\u8bbe\u6027\u7b54\u6848\u4f5c\u4e3a\u67e5\u8be2\u5411\u91cf\uff0c\u589e\u5f3a\u95ee\u9898\u4e0e\u4e0a\u4e0b\u6587\u7684\u5339\u914d\u5ea6\u3002<\/p>\n

          \n
        1. \u5206\u5757\u7b56\u7565\u4f18\u5316\uff1a<\/li>\n<\/ol>\n

          a.\u6839\u636e\u6587\u6863\u7c7b\u578b\u8c03\u6574\u5206\u5757\u5927\u5c0f\u548c\u76f8\u90bb\u5206\u5757\u7684\u91cd\u53e0\u5927\u5c0f\uff1b<\/p>\n

          b.\u4e3a\u6bcf\u4e2a\u6587\u672c\u5757\u6dfb\u52a0\u663e\u5f0f\u6807\u9898\u6216\u80cc\u666f\uff0c\u63d0\u5347\u8bed\u4e49\u68c0\u7d22\u51c6\u786e\u6027\uff1b<\/p>\n

          c.\u7ed3\u6784\u5316\u6587\u6863\uff0c\u5982\u5c06 PDF \u6587\u4ef6\u5148\u8f6c\u4e3a Markdown \u6587\u4ef6\u518d\u8fdb\u884c\u5206\u5757\uff1b<\/p>\n

          d.\u4f7f\u7528 LLM \u751f\u6210\u4e3b\u9898\u8fde\u8d2f\u7684\u6587\u672c\u5757\uff0c\u66ff\u4ee3\u4f20\u7edf\u9012\u5f52\u5206\u5272\uff0c\u51cf\u5c11\u4e0a\u4e0b\u6587\u65ad\u88c2\u95ee\u9898\u3002<\/p>\n

          3. Embedding \u6a21\u578b\u4f18\u5316\uff1a<\/p>\n

          a.\u91c7\u7528\u66f4\u9ad8\u6027\u80fd\u7684 Embedding \u6a21\u578b\uff1b<\/p>\n

          b.\u901a\u8fc7\u9886\u57df\u77e5\u8bc6\u5e93\u5fae\u8c03 Embedding \u6a21\u578b\u3002<\/p>\n

          4. \u68c0\u7d22\u7b56\u7565\u6539\u8fdb\uff1a<\/p>\n

          a.\u6df7\u5408\u68c0\u7d22\uff0c\u7ed3\u5408\u7a20\u5bc6\u68c0\u7d22\uff08\u5411\u91cf\u641c\u7d22\uff09\u4e0e\u7a00\u758f\u68c0\u7d22\uff08\u5982BM25\uff09\uff0c\u901a\u8fc7\u52a0\u6743\u878d\u5408\uff08\u5982 60% \u7a20\u5bc6 + 40% \u7a00\u758f\uff09\u517c\u987e\u8bed\u4e49\u5173\u8054\u4e0e\u5173\u952e\u8bcd\u5339\u914d\uff0c\u63d0\u5347\u4e0a\u4e0b\u6587\u76f8\u5173\u6027\uff1b<\/p>\n

          b.\u68c0\u7d22\u4e0e\u91cd\u6392\u5e8f\u7ed3\u5408\uff0c\u5148\u6269\u5927\u68c0\u7d22\u8303\u56f4\uff08\u5982Top 100\uff09\u5b9e\u73b0\u6700\u5927\u5316\u53ec\u56de\uff0c\u7136\u540e\u4f7f\u7528\u91cd\u6392\u5e8f\u6a21\u578b\u7b5b\u9009 Top 5-10\uff0c\u517c\u987e\u6548\u7387\u4e0e\u76f8\u5173\u6027\uff1b<\/p>\n

          c.\u5f15\u5165\u77e5\u8bc6\u56fe\u8c31\uff08Knowledge Graph\uff09\u589e\u5f3a\u68c0\u7d22\uff0c\u901a\u8fc7\u5b9e\u4f53\u94fe\u63a5\u548c\u8def\u5f84\u6269\u5c55\u6316\u6398\u6df1\u5c42\u8bed\u4e49\u5173\u7cfb\uff0c\u89e3\u51b3\u4f20\u7edf RAG \u5bf9\u590d\u6742\u5173\u7cfb\u63a8\u7406\u7684\u4e0d\u8db3\u3002<\/p>\n

          \u7b54\u6848\u5fe0\u5b9e\u5ea6\uff08Faithfulness\uff09<\/h4>\n

          \u8861\u91cf\u5b9e\u9645\u7b54\u6848\u662f\u5426\u4e25\u683c\u57fa\u4e8e\u68c0\u7d22\u5230\u7684\u4e0a\u4e0b\u6587\uff0c\u907f\u514d\u5e7b\u89c9\u3002<\/p>\n

          \u53d6\u503c\u5728 0 \u5230 1 \u4e4b\u95f4\uff0c\u6570\u503c\u8d8a\u9ad8\u8868\u793a\u5b9e\u9645\u7b54\u6848\u8d8a\u4e25\u683c\u57fa\u4e8e\u68c0\u7d22\u5230\u7684\u4e0a\u4e0b\u6587\u3002<\/p>\n

          \u8ba1\u7b97\u516c\u5f0f\uff1a\u7b54\u6848\u5fe0\u5b9e\u5ea6 = \u4e0a\u4e0b\u6587\u80fd\u591f\u63a8\u65ad\u51fa\u4e8b\u5b9e\u7684\u6570\u91cf \/ \u7b54\u6848\u62c6\u89e3\u51fa\u7684\u4e8b\u5b9e\u603b\u6570\u91cf\u3002<\/strong><\/p>\n

          \u4f8b\u5982\uff0c\u5b9e\u9645\u7b54\u6848\u62c6\u89e3\u51fa 5 \u4e2a\u4e8b\u5b9e\uff0c\u82e5\u68c0\u7d22\u5230\u7684\u4e0a\u4e0b\u6587\u8986\u76d6\u5176\u4e2d 4 \u4e2a\u4e8b\u5b9e\uff0c\u5219\u7b54\u6848\u5fe0\u5b9e\u5ea6\u4e3a 0.8\u3002<\/strong><\/p>\n

          \u63d0\u5347\u65b9\u6cd5\uff1a<\/strong><\/p>\n

            \n
          1. \u4f18\u5316\u68c0\u7d22\u9636\u6bb5\u7684\u7cbe\u51c6\u6027\uff0c\u63d0\u9ad8\u4e0a\u4e0b\u6587\u53ec\u76f8\u5173\u6027\uff1b<\/li>\n
          2. \u751f\u6210\u9636\u6bb5\u901a\u8fc7 Prompt \u8bbe\u8ba1\u7ea6\u675f LLM \u4e25\u683c\u6309\u4e0a\u4e0b\u6587\u751f\u6210\u7b54\u6848\u3002<\/li>\n<\/ol>\n

            \u7b54\u6848\u76f8\u5173\u6027\uff08Answer Relevance\uff09<\/h4>\n

            \u8861\u91cf\u5b9e\u9645\u7b54\u6848\u662f\u5426\u76f4\u63a5\u5b8c\u6574\u56de\u7b54\u7528\u6237\u95ee\u9898\uff0c\u6392\u9664\u5197\u4f59\u6216\u8dd1\u9898\u3002<\/p>\n

            \u53d6\u503c\u5728 0 \u5230 1 \u4e4b\u95f4\uff0c\u6570\u503c\u8d8a\u9ad8\u8868\u793a\u5b9e\u9645\u7b54\u6848\u66f4\u76f4\u63a5\u5b8c\u6574\u56de\u7b54\u7528\u6237\u95ee\u9898\u3002<\/p>\n

            \u8ba1\u7b97\u516c\u5f0f\uff1a\u7b54\u6848\u76f8\u5173\u6027 = \u4e0e\u5b9e\u9645\u95ee\u9898\u76f8\u5173\u7684\u6a21\u62df\u95ee\u9898\u6570\u91cf \/ \u5b9e\u9645\u7b54\u6848\u63a8\u5bfc\u51fa\u7684\u6a21\u62df\u95ee\u9898\u603b\u6570\u91cf\u3002<\/strong><\/p>\n

            \u4f8b\u5982\uff0c\u5b9e\u9645\u7b54\u6848\u63a8\u5bfc\u51fa 5 \u4e2a\u6a21\u62df\u95ee\u9898\uff0c\u82e5\u5176\u4e2d 4 \u4e2a\u4e0e\u5b9e\u9645\u95ee\u9898\u76f8\u5173\uff0c\u5219\u7b54\u6848\u76f8\u5173\u6027\u4e3a 0.8\u3002<\/strong><\/p>\n

            \u63d0\u5347\u65b9\u6cd5\uff1a<\/strong><\/p>\n

              \n
            1. \u4f18\u5316\u68c0\u7d22\u9636\u6bb5\u7684\u7cbe\u51c6\u6027\u4e0e\u5168\u9762\u6027\uff0c\u63d0\u9ad8\u4e0a\u4e0b\u6587\u53ec\u56de\u7387\u548c\u76f8\u5173\u6027\uff1b<\/li>\n
            2. \u751f\u6210\u9636\u6bb5\u901a\u8fc7 Prompt \u8bbe\u8ba1\u7ea6\u675f LLM \u76f4\u63a5\u5b8c\u6574\u56de\u7b54\u7528\u6237\u95ee\u9898\u3002<\/li>\n<\/ol>\n

              \u7b54\u6848\u6b63\u786e\u6027\uff08Answer Correctness\uff09<\/h4>\n

              \u8861\u91cf\u5b9e\u9645\u7b54\u6848\u7684\u51c6\u786e\u6027\uff0c\u9700\u4e0e\u53c2\u8003\u7b54\u6848\u5bf9\u6bd4\u3002<\/p>\n

              \u53d6\u503c\u5728 0 \u5230 1 \u4e4b\u95f4\uff0c\u6570\u503c\u8d8a\u9ad8\u8868\u793a\u5b9e\u9645\u7b54\u6848\u4e0e\u53c2\u8003\u7b54\u6848\u5339\u914d\u5ea6\u8d8a\u9ad8\uff0c\u51c6\u786e\u6027\u4e5f\u5c31\u8d8a\u9ad8\u3002<\/p>\n

              \u8ba1\u7b97\u516c\u5f0f\uff1a\u7b54\u6848\u51c6\u786e\u6027 = \u5b9e\u9645\u7b54\u6848\u8986\u76d6\u7684\u5173\u952e\u4fe1\u606f\u6570\u91cf \/ \u53c2\u8003\u7b54\u6848\u4e2d\u5173\u952e\u4fe1\u606f\u603b\u6570\u91cf\u3002<\/strong><\/p>\n

              \u4f8b\u5982\uff0c\u53c2\u8003\u7b54\u6848\u9700\u8981 5 \u4e2a\u5173\u952e\u4fe1\u606f\uff0c\u82e5\u5b9e\u9645\u7b54\u6848\u8986\u76d6\u5176\u4e2d 4 \u4e2a\u5173\u952e\u4fe1\u606f\uff0c\u5219\u7b54\u6848\u6b63\u786e\u6027\u4e3a 0.8\u3002<\/strong><\/p>\n

              \u63d0\u5347\u65b9\u6cd5\uff1a<\/strong><\/p>\n

                \n
              1. \u4f18\u5316\u68c0\u7d22\u9636\u6bb5\u7684\u7cbe\u51c6\u6027\u4e0e\u5168\u9762\u6027\uff0c\u63d0\u9ad8\u4e0a\u4e0b\u6587\u53ec\u56de\u7387\u548c\u76f8\u5173\u6027\uff1b<\/li>\n
              2. \u751f\u6210\u9636\u6bb5\u901a\u8fc7 Prompt \u8bbe\u8ba1\u7ea6\u675f LLM \u76f4\u63a5\u5b8c\u6574\u56de\u7b54\u7528\u6237\u95ee\u9898\u3002<\/li>\n<\/ol>\n

                \u8bc4\u4f30\u7cfb\u7edf<\/h3>\n

                RAG \u7cfb\u7edf\u8bc4\u4f30\u65b9\u6cd5\u4e3b\u8981\u6709\u7528\u6237\u53cd\u9988\uff08User Feedback\uff09\u3001\u4eba\u5de5\u6807\u6ce8\uff08Human Annotations\uff09\u3001LLM \u8bc4\u4f30\uff08LLM-as-judge\uff09\u3002<\/p>\n

                \"\u56fe\u7247\"<\/p>\n

                \u9274\u4e8e\u7528\u6237\u53cd\u9988\u9700\u8981\u751f\u4ea7\u73af\u5883\u4ee5\u53ca\u4eba\u5de5\u8bc4\u4f30\u8017\u65f6\u8017\u529b\u7b49\u539f\u56e0\uff0c\u901a\u8fc7 LLM \u6765\u5bf9 RAG \u7cfb\u7edf\u8fdb\u884c\u8bc4\u4f30\u662f\u76ee\u524d\u7684\u4e3b\u6d41\u548c\u53d1\u5c55\u65b9\u5411\u3002<\/p>\n

                \u76ee\u524d\u4e3b\u6d41\u7684 RAG \u8bc4\u4f30\u7cfb\u7edf\u6709\uff1aRAGAS[1]<\/sup>\u3001Trulens[2]<\/sup>\u3001LangSmith[3]<\/sup>\u3001LlamaIndex[4]<\/sup>\u7b49\uff0c\u5176\u6838\u5fc3\u539f\u7406\u8fd8\u662f\u4f7f\u7528\u6807\u6ce8\u826f\u597d\u7684\u6570\u636e\u96c6\u548c LLM \u6765\u5b8c\u6210\u81ea\u52a8\u5316\u8bc4\u4f30\uff0c\u5927\u5bb6\u53ef\u6839\u636e\u81ea\u5df1\u7684\u9700\u6c42\u9009\u7528\u3002<\/p>\n

                  \n
                • RAGAS\uff1a<\/strong><\/li>\n<\/ul>\n

                  \u00a0 \u00a0 \u5b9a\u4f4d\uff1a<\/strong>\u4e13\u6ce8 RAG \u7cfb\u7edf\u8bc4\u4f30\uff0c\u63d0\u4f9b\u81ea\u52a8\u5316\u3001\u65e0\u53c2\u8003\u6807\u7b7e\u7684\u8bc4\u4f30\u6846\u67b6\uff0c\u8bc4\u4f30\u6307\u6807\u8986\u76d6\u5168\u9762\uff1b<\/p>\n

                  \u00a0 \u00a0 \u8986\u76d6\u6307\u6807\uff1a<\/strong>\u4e0a\u4e0b\u6587\u76f8\u5173\u6027\u3001\u4e0a\u4e0b\u6587\u53ec\u56de\u7387\u3001\u7b54\u6848\u5fe0\u5b9e\u5ea6\u3001\u7b54\u6848\u76f8\u5173\u6027\u3001\u7b54\u6848\u6b63\u786e\u6027\u7b49\uff1b<\/p>\n

                  \u00a0 \u00a0 \u652f\u6301\u5f00\u53d1\u8bed\u8a00\uff1a<\/strong>Python\u3002<\/p>\n

                    \n
                  • Trulens<\/strong><\/li>\n<\/ul>\n

                    \u00a0 \u00a0 \u00a0 \u00a0\u5b9a\u4f4d\uff1a<\/strong>\u63d0\u4f9b RAG Triad \u8bc4\u4f30\u6a21\u578b\uff08\u68c0\u7d22\u8d28\u91cf\u3001\u751f\u6210\u51c6\u786e\u6027\u3001\u5bf9\u9f50\u5ea6\uff09\uff0c\u4f46\u6307\u6807\u8f83 RAGAS \u7c97\u7565\uff0c\u5c5e\u4e8e RAGAS \u7684\u5b50\u96c6\uff1b<\/p>\n

                    \u00a0 \u00a0 \u00a0 \u00a0\u8986\u76d6\u6307\u6807\uff1a<\/strong>\u4e0a\u4e0b\u6587\u76f8\u5173\u6027\u3001\u7b54\u6848\u5fe0\u5b9e\u5ea6\u3001\u7b54\u6848\u76f8\u5173\u6027\u7b49\uff1b<\/p>\n

                    \u00a0 \u00a0 \u00a0 \u00a0\u652f\u6301\u5f00\u53d1\u8bed\u8a00\uff1a<\/strong>Python\u3002<\/p>\n

                      \n
                    • \u2022LangSmith\uff1a<\/strong><\/li>\n<\/ul>\n

                      \u00a0 \u00a0 \u00a0 \u00a0\u5b9a\u4f4d\uff1a<\/strong>LangChain \u751f\u6001\u7684\u6838\u5fc3\u76d1\u63a7\u4e0e\u8c03\u8bd5\u5de5\u5177\uff0c\u8986\u76d6 LLM \u5e94\u7528\u5168\u751f\u547d\u5468\u671f\uff0c\u4e5f\u53ef\u4e0e RAGAS \u8054\u5408\u8bc4\u4f30 RAG \u7cfb\u7edf\uff1b<\/p>\n

                      \u00a0 \u00a0 \u00a0 \u00a0\u8986\u76d6\u6307\u6807\uff1a<\/strong>\u4e0a\u4e0b\u6587\u76f8\u5173\u6027\u3001\u7b54\u6848\u5fe0\u5b9e\u5ea6\u3001\u7b54\u6848\u76f8\u5173\u6027\u3001\u7b54\u6848\u6b63\u786e\u6027\u7b49\uff1b<\/p>\n

                      \u00a0 \u00a0 \u00a0 \u00a0\u652f\u6301\u5f00\u53d1\u8bed\u8a00\uff1a<\/strong>Python\u3001TypeScript\u3002<\/p>\n

                        \n
                      • \u2022LlamaIndex\uff1a<\/strong><\/li>\n<\/ul>\n

                        \u00a0 \u00a0 \u00a0 \u00a0\u5b9a\u4f4d\uff1a<\/strong>\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u6784\u5efa RAG \u5e94\u7528\u7684\u6846\u67b6\uff0c\u63d0\u4f9b\u6570\u636e\u7d22\u5f15\u3001\u68c0\u7d22\u4e0e\u751f\u6210\u7684\u5b8c\u6574\u6d41\u7a0b\u652f\u6301\u3002\u652f\u6301\u90e8\u5206\u6307\u6807\u8bc4\u4f30\uff0c\u4e5f\u53ef\u4e0e RAGAS \u8054\u5408\u8bc4\u4f30 RAG \u7cfb\u7edf\uff1b<\/p>\n

                        \u00a0 \u00a0 \u00a0 \u00a0\u8986\u76d6\u6307\u6807\uff1a<\/strong>\u7b54\u6848\u5fe0\u5b9e\u5ea6\u3001\u7b54\u6848\u76f8\u5173\u6027\u3001\u7b54\u6848\u6b63\u786e\u6027\u7b49\uff1b<\/p>\n

                        \u00a0 \u00a0 \u00a0 \u652f\u6301\u5f00\u53d1\u8bed\u8a00\uff1a<\/strong>Python\u3001TypeScript\u3002<\/p>\n

                        \u7ed3\u8bed<\/h3>\n

                        \u901a\u8fc7\u672c\u6587\u6211\u4eec\u4e86\u89e3\u4e86 RAG \u7cfb\u7edf\u7684\u8bc4\u4f30\u6307\u6807\u3001\u8bc4\u4f30\u65b9\u6cd5\u4ee5\u53ca\u4e3b\u6d41\u7684\u8bc4\u4f30\u7cfb\u7edf\uff0c\u540e\u9762\u6211\u4eec\u5c06\u57fa\u4e8e LLM-as-judge \u81ea\u5df1\u5b9e\u73b0\u4e00\u5957\u81ea\u52a8\u5316\u8bc4\u4f30\u7cfb\u7edf\uff0c\u7136\u540e\u901a\u8fc7\u8be5\u8bc4\u4f30\u7cfb\u7edf\u8bc4\u4f30\u6211\u4eec\u5728RAG\u7cfb\u5217\uff1a\u57fa\u4e8e DeepSeek + Chroma + LangChain \u5f00\u53d1\u4e00\u4e2a\u7b80\u5355 RAG \u7cfb\u7edf\u00a0\u4e2d\u642d\u5efa\u597d\u7684\u57fa\u7840\u7248 RAG \u7cfb\u7edf\uff0c\u7136\u540e\u4ee5\u6b64\u4e3a\u57fa\u51c6\uff0c\u5b66\u4e60\u4e0d\u540c\u7684\u4f18\u5316\u65b9\u6cd5\u4ee5\u53ca\u4f18\u5316\u540e\u7684\u57fa\u7840\u7248 RAG \u7cfb\u7edf\u7684\u63d0\u5347\u6548\u679c\u3002<\/p>\n

                        \u5f15\u7528\u94fe\u63a5<\/strong><\/p>\n

                        [1]<\/code>RAGAS:https:\/\/docs.ragas.io\/en\/latest\/getstarted\/rag_eval\/<\/p>\n

                        [2]<\/code>Trulens:https:\/\/www.trulens.org\/getting_started\/<\/p>\n

                        [3]<\/code>LangSmith:https:\/\/docs.smith.langchain.com\/evaluation\/tutorials\/rag<\/p>\n

                        [4]<\/code>LlamaIndex:https:\/\/www.llamaindex.ai\/<\/p>\n<\/div>\n

                        \u6587\u7ae0\u6765\u81ea\uff1a51CTO<\/p>\n<\/div>\n

                        <\/div>\n

                        <\/g><\/svg><\/i> \"Loading\"<\/p>\n

                        <\/div>\n","protected":false},"excerpt":{"rendered":"

                        \u672c\u6587\u6211\u4eec\u5e26\u5927\u5bb6\u4e86\u89e3 RAG \u7cfb\u7edf\u7684\u8bc4\u4f30\u6307\u6807\u3001\u8bc4\u4f30\u65b9\u6cd5\u4ee5\u53ca\u4e3b\u6d41\u7684\u8bc4\u4f30\u7cfb\u7edf\u3002 \u5f15\u8a00 \u5728\u00a0RAG\u7cfb\u5217\uff1a\u4e00\u6587\u8ba9\u4f60\u7531\u6d45\u5230 […]<\/p>\n

                        <\/div>\n

                        <\/g><\/svg><\/i> \"Loading\"<\/p>\n

                        <\/div>\n","protected":false},"author":56,"featured_media":26009,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,23,20,80],"tags":[1709],"class_list":["post-26007","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-23","category-20","category-80","tag-rag-"],"_links":{"self":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/26007","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/users\/56"}],"replies":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/comments?post=26007"}],"version-history":[{"count":1,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/26007\/revisions"}],"predecessor-version":[{"id":26010,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/26007\/revisions\/26010"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media\/26009"}],"wp:attachment":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media?parent=26007"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/categories?post=26007"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/tags?post=26007"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}