{"id":51354,"date":"2025-08-10T21:35:53","date_gmt":"2025-08-10T13:35:53","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/51354.html"},"modified":"2025-08-10T21:35:53","modified_gmt":"2025-08-10T13:35:53","slug":"rag%ef%bc%9a%e5%a4%a7%e6%a8%a1%e5%9e%8b%e7%9a%84%e5%a4%96%e6%8c%82%e7%a5%9e%e5%99%a8%ef%bc%8c%e8%a7%a3%e9%94%81ai%e6%96%b0%e5%a7%bf%e5%8a%bf","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/51354.html","title":{"rendered":"RAG\uff1a\u5927\u6a21\u578b\u7684\u5916\u6302\u795e\u5668\uff0c\u89e3\u9501AI\u65b0\u59ff\u52bf"},"content":{"rendered":"

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\u4e00\u3001RAG \u662f\u4ec0\u4e48<\/h3>\n

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\u4e09\u3001RAG \u5de5\u4f5c\u539f\u7406\u5927\u63ed\u79d8<\/h3>\n

\"\"<\/p>\n

（\u4e00）\u6784\u5efa\u77e5\u8bc6\u5e93<\/h4>\n

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  • \n

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  • \n

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  • \n

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  • \n

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  • \n

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  • \n

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  • \n

    \u90e8\u7f72\u96c6\u6210：\u5c06\u5411\u91cf\u6570\u636e\u5e93\u96c6\u6210\u5230 AI \u4ea7\u54c1\u6d41\u7a0b\u4e2d，\u4e0e\u751f\u6210\u6a21\u578b\u642d\u914d\u4f7f\u7528 \u3002\u8fd9\u6837，\u5f53\u7528\u6237\u63d0\u95ee\u65f6，\u7cfb\u7edf\u5c31\u80fd\u5feb\u901f\u4ece\u5411\u91cf\u6570\u636e\u5e93\u4e2d\u68c0\u7d22\u76f8\u5173\u77e5\u8bc6，\u5e76\u4ea4\u7ed9\u751f\u6210\u6a21\u578b\u8fdb\u884c\u5904\u7406 \u3002<\/p>\n<\/li>\n

    （\u4e8c）\u6a21\u578b\u8c03\u7528<\/h4>\n

    \u5f53\u7528\u6237\u63d0\u51fa\u95ee\u9898\u540e，RAG \u7cfb\u7edf\u5c31\u4f1a\u8fdb\u5165\u6a21\u578b\u8c03\u7528\u9636\u6bb5，\u8fd9\u4e2a\u9636\u6bb5\u4e3b\u8981\u5305\u542b\u4ee5\u4e0b\u64cd\u4f5c ：<\/p>\n

  • \n

    \u5411\u91cf\u8f6c\u6362：\u7cfb\u7edf\u4f1a\u5c06\u7528\u6237\u8f93\u5165\u7684 Prompt \u8f6c\u5316\u6210\u5411\u91cf \u3002\u540c\u6837\u662f\u5229\u7528 Embedding \u6a21\u578b，\u628a\u7528\u6237\u7684\u95ee\u9898\u4e5f\u53d8\u6210\u548c\u77e5\u8bc6\u5e93\u4e2d\u77e5\u8bc6\u7247\u6bb5\u4e00\u6837\u7684\u5411\u91cf\u5f62\u5f0f，\u65b9\u4fbf\u5728\u5411\u91cf\u6570\u636e\u5e93\u91cc\u8fdb\u884c\u76f8\u4f3c\u5ea6\u6bd4\u8f83 \u3002<\/p>\n<\/li>\n

  • \n

    \u76f8\u4f3c\u7247\u6bb5\u68c0\u7d22：\u5c06\u7528\u6237\u95ee\u9898\u8f6c\u5316\u540e\u7684\u5411\u91cf，\u5728\u5411\u91cf\u6570\u636e\u5e93\u91cc\u8fdb\u884c\u76f8\u4f3c\u5ea6\u68c0\u7d22 \u3002\u5411\u91cf\u6570\u636e\u5e93\u4f1a\u6839\u636e\u5411\u91cf\u4e4b\u95f4\u7684\u76f8\u4f3c\u5ea6，\u627e\u51fa\u4e0e\u7528\u6237\u95ee\u9898\u6700\u76f8\u5173\u7684 1 \u6761\u6216\u8005\u591a\u6761\u77e5\u8bc6\u7247\u6bb5 ，\u4e5f\u5c31\u662f\u53ec\u56de\u76f8\u5173\u5185\u5bb9 \u3002\u6bd4\u5982，\u7528\u6237\u95ee \u201c\u82f9\u679c\u7684\u8425\u517b\u4ef7\u503c\u6709\u54ea\u4e9b？\u201d，\u5411\u91cf\u6570\u636e\u5e93\u5c31\u4f1a\u68c0\u7d22\u51fa\u4e0e \u201c\u82f9\u679c\u8425\u517b\u4ef7\u503c\u201d \u76f8\u5173\u7684\u77e5\u8bc6\u7247\u6bb5 \u3002<\/p>\n<\/li>\n

  • \n

    \u5408\u5e76\u8f93\u5165：\u5c06\u68c0\u7d22\u51fa\u7684\u77e5\u8bc6\u7247\u6bb5\u4e0e\u539f Prompt \u5408\u5e76\u5728\u4e00\u8d77，\u7ec4\u6210\u65b0\u7684 Prompt \u3002\u8fd9\u6837，\u65b0\u7684 Prompt \u5c31\u5305\u542b\u4e86\u7528\u6237\u95ee\u9898\u4ee5\u53ca\u4ece\u77e5\u8bc6\u5e93\u4e2d\u68c0\u7d22\u5230\u7684\u76f8\u5173\u4fe1\u606f，\u4e3a\u5927\u6a21\u578b\u63d0\u4f9b\u4e86\u66f4\u4e30\u5bcc\u7684\u4e0a\u4e0b\u6587 \u3002<\/p>\n<\/li>\n

  • \n

    \u751f\u6210\u56de\u590d：\u628a\u65b0\u7684 Prompt \u8f93\u5165\u5230\u5927\u6a21\u578b\u4e2d，\u5927\u6a21\u578b\u57fa\u4e8e\u8fd9\u4e9b\u4fe1\u606f\u8fdb\u884c\u7406\u89e3\u548c\u63a8\u7406，\u751f\u6210\u6700\u7ec8\u7684\u56de\u7b54 \u3002\u7531\u4e8e\u5927\u6a21\u578b\u5728\u751f\u6210\u56de\u7b54\u65f6\u53c2\u8003\u4e86\u4ece\u77e5\u8bc6\u5e93\u4e2d\u68c0\u7d22\u5230\u7684\u76f8\u5173\u77e5\u8bc6，\u6240\u4ee5\u56de\u7b54\u4f1a\u66f4\u52a0\u51c6\u786e\u3001\u4e30\u5bcc\u548c\u6709\u9488\u5bf9\u6027 \u3002<\/p>\n<\/li>\n

    \u56db\u3001RAG \u4f18\u52bf\u5927\u76d8\u70b9<\/h3>\n

    （\u4e00）\u7ecf\u6d4e\u9ad8\u6548<\/h4>\n

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    \u800c RAG \u5219\u5927\u5927\u964d\u4f4e\u4e86\u8fd9\u65b9\u9762\u7684\u6210\u672c \u3002\u5f53\u6709\u65b0\u7684\u4fe1\u606f\u9700\u8981\u6dfb\u52a0\u65f6，\u6211\u4eec\u53ea\u9700\u8981\u5c06\u65b0\u7684\u6570\u636e\u6309\u7167\u4e00\u5b9a\u7684\u683c\u5f0f\u6574\u7406\u597d，\u6dfb\u52a0\u5230\u5916\u90e8\u7684\u77e5\u8bc6\u5e93\u4e2d\u5373\u53ef \u3002\u65e0\u9700\u5bf9\u5927\u6a21\u578b\u672c\u8eab\u8fdb\u884c\u5927\u89c4\u6a21\u7684\u91cd\u65b0\u8bad\u7ec3，\u8fd9\u5c31\u8282\u7701\u4e86\u5927\u91cf\u7684\u6280\u672f\u548c\u8d22\u52a1\u6210\u672c \u3002\u6bd4\u5982，\u4e00\u4e2a\u4f01\u4e1a\u60f3\u8981\u8ba9\u5927\u6a21\u578b\u4e86\u89e3\u6700\u65b0\u7684\u4ea7\u54c1\u4fe1\u606f，\u53ea\u9700\u8981\u5c06\u4ea7\u54c1\u7684\u66f4\u65b0\u6587\u6863\u6dfb\u52a0\u5230\u77e5\u8bc6\u5e93，\u6a21\u578b\u5c31\u80fd\u5728\u540e\u7eed\u7684\u56de\u7b54\u4e2d\u8fd0\u7528\u8fd9\u4e9b\u65b0\u77e5\u8bc6，\u800c\u4e0d\u7528\u82b1\u8d39\u5927\u91cf\u8d44\u6e90\u53bb\u91cd\u65b0\u8bad\u7ec3\u6a21\u578b \u3002<\/p>\n

    （\u4e8c）\u5b9e\u65f6\u66f4\u65b0<\/h4>\n

    \u5728\u4fe1\u606f\u7206\u70b8\u7684\u65f6\u4ee3，\u6570\u636e\u7684\u65f6\u6548\u6027\u81f3\u5173\u91cd\u8981 \u3002RAG \u6280\u672f\u6700\u5927\u7684\u4eae\u70b9\u4e4b\u4e00，\u5c31\u662f\u80fd\u8ba9\u5927\u6a21\u578b\u4e0e\u5b9e\u65f6\u6570\u636e\u7d27\u5bc6\u76f8\u8fde \u3002\u901a\u8fc7\u8fde\u63a5\u5b9e\u65f6\u6570\u636e\u6e90，\u5982\u65b0\u95fb\u7f51\u7ad9\u7684 API \u63a5\u53e3\u3001\u91d1\u878d\u5e02\u573a\u7684\u5b9e\u65f6\u6570\u636e\u63a5\u53e3\u7b49，\u5927\u6a21\u578b\u53ef\u4ee5\u83b7\u53d6\u5230\u6700\u65b0\u7684\u4fe1\u606f \u3002<\/p>\n

    \u4f8b\u5982，\u5728\u91d1\u878d\u9886\u57df，\u6295\u8d44\u8005\u60f3\u8981\u4e86\u89e3\u67d0\u53ea\u80a1\u7968\u7684\u6700\u65b0\u4ef7\u683c\u8d70\u52bf\u3001\u516c\u53f8\u7684\u6700\u65b0\u8d22\u62a5\u6570\u636e\u7b49，\u4f7f\u7528 RAG \u6280\u672f\u7684\u5927\u6a21\u578b\u5c31\u80fd\u53ca\u65f6\u83b7\u53d6\u8fd9\u4e9b\u5b9e\u65f6\u6570\u636e，\u5e76\u7ed9\u51fa\u51c6\u786e\u7684\u56de\u7b54 \u3002\u53c8\u6bd4\u5982，\u5728\u65b0\u95fb\u8d44\u8baf\u9886\u57df，\u5f53\u6709\u7a81\u53d1\u65b0\u95fb\u4e8b\u4ef6\u53d1\u751f\u65f6，\u5927\u6a21\u578b\u53ef\u4ee5\u8fc5\u901f\u4ece\u65b0\u95fb\u6e90\u83b7\u53d6\u76f8\u5173\u62a5\u9053，\u4e3a\u7528\u6237\u63d0\u4f9b\u6700\u65b0\u7684\u4e8b\u4ef6\u8fdb\u5c55\u548c\u89e3\u8bfb \u3002\u8fd9\u79cd\u5b9e\u65f6\u66f4\u65b0\u7684\u80fd\u529b，\u786e\u4fdd\u4e86\u5927\u6a21\u578b\u7684\u56de\u7b54\u59cb\u7ec8\u5177\u6709\u9ad8\u5ea6\u7684\u76f8\u5173\u6027\u548c\u51c6\u786e\u6027，\u4f7f\u5176\u5728\u5e94\u5bf9\u5404\u79cd\u65f6\u6548\u6027\u8981\u6c42\u9ad8\u7684\u573a\u666f\u65f6，\u90fd\u80fd\u6e38\u5203\u6709\u4f59 \u3002<\/p>\n

    （\u4e09）\u63d0\u9ad8\u53ef\u4fe1\u5ea6<\/h4>\n

    \u5728\u9762\u5bf9\u5927\u6a21\u578b\u7ed9\u51fa\u7684\u56de\u7b54\u65f6，\u5f88\u591a\u7528\u6237\u5e38\u5e38\u4f1a\u5fc3\u5b58\u7591\u8651：\u8fd9\u4e2a\u7b54\u6848\u51c6\u786e\u5417？\u6709\u6ca1\u6709\u53ef\u9760\u7684\u4f9d\u636e？RAG \u6280\u672f\u5f88\u597d\u5730\u89e3\u51b3\u4e86\u8fd9\u4e2a\u95ee\u9898 \u3002<\/p>\n

    \u5f53\u5927\u6a21\u578b\u57fa\u4e8e RAG \u6280\u672f\u751f\u6210\u56de\u7b54\u65f6，\u5b83\u4f1a\u540c\u65f6\u5217\u51fa\u56de\u7b54\u6240\u4f9d\u636e\u7684\u4fe1\u606f\u6765\u6e90 ，\u8fd9\u4e9b\u6765\u6e90\u53ef\u4ee5\u662f\u5177\u4f53\u7684\u6587\u6863\u3001\u7f51\u9875\u94fe\u63a5\u3001\u7814\u7a76\u62a5\u544a\u7b49 \u3002\u7528\u6237\u901a\u8fc7\u67e5\u770b\u8fd9\u4e9b\u6765\u6e90，\u5c31\u80fd\u9a8c\u8bc1\u7b54\u6848\u7684\u53ef\u9760\u6027，\u589e\u5f3a\u5bf9\u5927\u6a21\u578b\u8f93\u51fa\u5185\u5bb9\u7684\u4fe1\u4efb \u3002\u4f8b\u5982，\u5f53\u7528\u6237\u8be2\u95ee\u67d0\u4e2a\u79d1\u5b66\u95ee\u9898\u65f6，\u5927\u6a21\u578b\u4e0d\u4ec5\u4f1a\u7ed9\u51fa\u7b54\u6848，\u8fd8\u4f1a\u5217\u51fa\u53c2\u8003\u7684\u79d1\u5b66\u6587\u732e\u3001\u7814\u7a76\u673a\u6784\u7684\u62a5\u544a\u7b49，\u8ba9\u7528\u6237\u80fd\u591f\u8fdb\u4e00\u6b65\u67e5\u9605\u76f8\u5173\u8d44\u6599，\u6df1\u5165\u4e86\u89e3\u95ee\u9898 \u3002\u8fd9\u79cd\u900f\u660e\u7684\u4fe1\u606f\u5448\u73b0\u65b9\u5f0f，\u6709\u6548\u63d0\u5347\u4e86\u5927\u6a21\u578b\u56de\u7b54\u7684\u53ef\u4fe1\u5ea6，\u8ba9\u7528\u6237\u4f7f\u7528\u8d77\u6765\u66f4\u52a0\u653e\u5fc3 \u3002<\/p>\n

    （\u56db）\u7075\u6d3b\u53ef\u63a7<\/h4>\n

    \u5bf9\u4e8e\u5f00\u53d1\u4eba\u5458\u6765\u8bf4，RAG \u63d0\u4f9b\u4e86\u6781\u5927\u7684\u7075\u6d3b\u6027\u548c\u53ef\u63a7\u6027 \u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d，\u4e0d\u540c\u7684\u7528\u6237\u53ef\u80fd\u6709\u4e0d\u540c\u7684\u9700\u6c42\u548c\u4f7f\u7528\u573a\u666f，\u5f00\u53d1\u4eba\u5458\u53ef\u4ee5\u6839\u636e\u8fd9\u4e9b\u9700\u6c42，\u7075\u6d3b\u5730\u66f4\u6539 RAG \u7cfb\u7edf\u7684\u4fe1\u606f\u6e90 \u3002<\/p>\n

    \u6bd4\u5982，\u5728\u4f01\u4e1a\u5185\u90e8\u5e94\u7528\u4e2d，\u5f00\u53d1\u4eba\u5458\u53ef\u4ee5\u5c06\u4fe1\u606f\u6e90\u8bbe\u7f6e\u4e3a\u4f01\u4e1a\u7684\u5185\u90e8\u6587\u6863\u5e93\u3001\u77e5\u8bc6\u5e93\u7b49，\u786e\u4fdd\u5458\u5de5\u83b7\u53d6\u7684\u4fe1\u606f\u90fd\u662f\u4f01\u4e1a\u5185\u90e8\u7684\u673a\u5bc6\u4fe1\u606f\u548c\u4e13\u4e1a\u77e5\u8bc6 \u3002\u540c\u65f6，\u901a\u8fc7\u8bbe\u7f6e\u4e0d\u540c\u7684\u6388\u6743\u7ea7\u522b，\u5f00\u53d1\u4eba\u5458\u8fd8\u53ef\u4ee5\u9650\u5236\u5bf9\u654f\u611f\u4fe1\u606f\u7684\u68c0\u7d22 \u3002\u4f8b\u5982，\u666e\u901a\u5458\u5de5\u53ea\u80fd\u68c0\u7d22\u4e00\u822c\u6027\u7684\u5de5\u4f5c\u8d44\u6599，\u800c\u7ba1\u7406\u5c42\u5219\u53ef\u4ee5\u8bbf\u95ee\u66f4\u9ad8\u7ea7\u522b\u7684\u5546\u4e1a\u673a\u5bc6\u548c\u6218\u7565\u89c4\u5212\u6587\u6863 \u3002\u8fd9\u79cd\u7075\u6d3b\u53ef\u63a7\u7684\u7279\u6027，\u4f7f\u5f97 RAG \u80fd\u591f\u6ee1\u8db3\u4e0d\u540c\u7528\u6237\u5728\u4e0d\u540c\u573a\u666f\u4e0b\u7684\u591a\u6837\u5316\u9700\u6c42，\u4e3a\u5927\u6a21\u578b\u7684\u5e7f\u6cdb\u5e94\u7528\u63d0\u4f9b\u4e86\u6709\u529b\u652f\u6301 \u3002<\/p>\n

    \u4e94\u3001\u4ee3\u7801\u5b9e\u64cd：\u624b\u628a\u624b\u6559\u4f60\u5b9e\u73b0 RAG<\/h3>\n

    （\u4e00）\u51c6\u5907\u5de5\u4f5c<\/h4>\n

    \u5728\u5f00\u59cb\u5b9e\u73b0 RAG \u4e4b\u524d，\u6211\u4eec\u9700\u8981\u786e\u4fdd\u73af\u5883\u914d\u7f6e\u6b63\u786e，\u5e76\u5b89\u88c5\u6240\u9700\u7684\u4f9d\u8d56\u5305\u3002\u4e3b\u8981\u6d89\u53ca Python \u5305\u7684\u5b89\u88c5\u3001OpenAI \u8d26\u6237\u7533\u8bf7\u4ee5\u53ca\u914d\u7f6e\u6587\u4ef6\u7684\u521b\u5efa \u3002<\/p>\n

  • \u5b89\u88c5\u76f8\u5173 Python \u5305：\u672c\u6587\u4f7f\u7528langchain\u4f5c\u4e3a\u6838\u5fc3\u6846\u67b6，openai\u8c03\u7528 OpenAI \u7684 API，weaviate – client\u8fde\u63a5\u548c\u64cd\u4f5c Weaviate \u5411\u91cf\u6570\u636e\u5e93 \u3002\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5：<\/li>\n

    pip install langchain openai weaviate – client<\/p>\n

  • \n

    \u7533\u8bf7 OpenAI \u8d26\u6237\u83b7\u53d6 API \u5bc6\u94a5：\u8bbf\u95ee OpenAI \u5b98\u7f51（https:\/\/openai.com\/ ），\u6ce8\u518c\u5e76\u767b\u5f55\u8d26\u6237 \u3002\u767b\u5f55\u540e，\u70b9\u51fb\u53f3\u4e0a\u89d2\u5934\u50cf，\u9009\u62e9 \u201cAPI\u201d \u8fdb\u5165\u63a7\u5236\u53f0 \u3002\u5728 \u201cAPI Keys\u201d \u90e8\u5206，\u70b9\u51fb \u201cCreate new secret key\u201d \u751f\u6210 API \u5bc6\u94a5 ，\u8bf7\u59a5\u5584\u4fdd\u7ba1\u8be5\u5bc6\u94a5，\u540e\u7eed\u4ee3\u7801\u4e2d\u4f1a\u7528\u5230 \u3002<\/p>\n<\/li>\n

  • \n

    \u521b\u5efa.env \u6587\u4ef6\u5b58\u653e\u914d\u7f6e\u4fe1\u606f：\u4e3a\u4e86\u5b89\u5168\u548c\u65b9\u4fbf\u7ba1\u7406，\u6211\u4eec\u521b\u5efa\u4e00\u4e2a.env\u6587\u4ef6\u6765\u5b58\u653e OpenAI API \u5bc6\u94a5 \u3002\u5728\u9879\u76ee\u6839\u76ee\u5f55\u4e0b\u521b\u5efa.env\u6587\u4ef6，\u5e76\u6dfb\u52a0\u4ee5\u4e0b\u5185\u5bb9 ：<\/p>\n<\/li>\n

    OPENAI\\\\_API\\\\_KEY='your\\\\_openai\\\\_api\\\\_key'<\/p>\n

    \u6ce8\u610f\u5c06your_openai_api_key\u66ff\u6362\u4e3a\u5b9e\u9645\u751f\u6210\u7684 API \u5bc6\u94a5 \u3002\u7136\u540e，\u5728 Python \u4ee3\u7801\u4e2d\u4f7f\u7528dotenv\u5e93\u52a0\u8f7d\u8be5\u6587\u4ef6\u4e2d\u7684\u73af\u5883\u53d8\u91cf \u3002\u9996\u5148\u5b89\u88c5dotenv\u5e93：<\/p>\n

    pip install python – dotenv<\/p>\n

    \u5728\u4ee3\u7801\u5f00\u5934\u6dfb\u52a0\u4ee5\u4e0b\u5185\u5bb9\u52a0\u8f7d\u73af\u5883\u53d8\u91cf：<\/p>\n

    import os<\/p>\n

    from dotenv import load\\\\_dotenv<\/p>\n

    load\\\\_dotenv()<\/p>\n

    openai\\\\_api\\\\_key = os.getenv('OPENAI\\\\_API\\\\_KEY')<\/p>\n

    （\u4e8c）\u5411\u91cf\u6570\u636e\u5e93\u64cd\u4f5c<\/h4>\n

    \u63a5\u4e0b\u6765，\u6211\u4eec\u9700\u8981\u5c06\u6587\u672c\u6570\u636e\u8fdb\u884c\u5904\u7406，\u5e76\u5b58\u50a8\u5230\u5411\u91cf\u6570\u636e\u5e93\u4e2d，\u4ee5\u4fbf\u540e\u7eed\u68c0\u7d22 \u3002\u8fd9\u91cc\u6211\u4eec\u4f7f\u7528LangChain\u7684TextLoader\u52a0\u8f7d\u6587\u672c\u6570\u636e，CharacterTextSplitter\u5bf9\u6587\u6863\u8fdb\u884c\u5206\u5757，OpenAIEmbeddings\u751f\u6210\u5411\u91cf\u5d4c\u5165，\u6700\u540e\u5c06\u6570\u636e\u5b58\u50a8\u5230 Weaviate \u5411\u91cf\u6570\u636e\u5e93 \u3002<\/p>\n

  • \u52a0\u8f7d\u6587\u672c\u6570\u636e：\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u6587\u672c\u6587\u4ef6example.txt，\u4f7f\u7528TextLoader\u8fdb\u884c\u52a0\u8f7d ：<\/li>\n

    from langchain.document\\\\_loaders import TextLoader<\/p>\n

    loader = TextLoader('example.txt')<\/p>\n

    documents = loader.load()<\/p>\n

  • \u6587\u6863\u5206\u5757：\u4f7f\u7528CharacterTextSplitter\u5c06\u6587\u6863\u5206\u5272\u6210\u8f83\u5c0f\u7684\u5757，\u4ee5\u4fbf\u66f4\u597d\u5730\u5904\u7406\u548c\u5b58\u50a8 \u3002\u8fd9\u91cc\u8bbe\u7f6e\u6bcf\u4e2a\u5757\u7684\u5927\u5c0f\u4e3a 1000 \u4e2a\u5b57\u7b26，\u91cd\u53e0\u90e8\u5206\u4e3a 200 \u4e2a\u5b57\u7b26 ：<\/li>\n

    from langchain.text\\\\_splitter import CharacterTextSplitter<\/p>\n

    text\\\\_splitter = CharacterTextSplitter(chunk\\\\_size = 1000, chunk\\\\_overlap = 200)<\/p>\n

    texts = text\\\\_splitter.split\\\\_documents(documents)<\/p>\n

  • \u751f\u6210\u5411\u91cf\u5d4c\u5165：\u5229\u7528OpenAIEmbeddings\u5c06\u5206\u5757\u540e\u7684\u6587\u672c\u8f6c\u6362\u4e3a\u5411\u91cf\u8868\u793a ：<\/li>\n

    from langchain.embeddings.openai import OpenAIEmbeddings<\/p>\n

    embeddings = OpenAIEmbeddings(openai\\\\_api\\\\_key = openai\\\\_api\\\\_key)<\/p>\n

  • \u5b58\u50a8\u5230 Weaviate \u5411\u91cf\u6570\u636e\u5e93：\u9996\u5148，\u786e\u4fdd Weaviate \u670d\u52a1\u5df2\u7ecf\u542f\u52a8 \u3002\u7136\u540e，\u4f7f\u7528weaviate – client\u5c06\u6570\u636e\u5b58\u50a8\u5230 Weaviate \u4e2d ：<\/li>\n

    import weaviate<\/p>\n

    from langchain.vectorstores import Weaviate<\/p>\n

    client = weaviate.Client(url = "http:\/\/localhost:8080")<\/p>\n

    vectorstore = Weaviate.from\\\\_documents(texts, embeddings, client = client, index\\\\_name = "ExampleIndex")<\/p>\n

    \u8fd9\u91cc\u5047\u8bbe Weaviate \u670d\u52a1\u8fd0\u884c\u5728\u672c\u5730\u7684http:\/\/localhost:8080，\u5e76\u521b\u5efa\u4e86\u4e00\u4e2a\u540d\u4e3a \u201cExampleIndex\u201d \u7684\u7d22\u5f15 \u3002<\/p>\n

    （\u4e09）RAG \u5b9e\u73b0\u6b65\u9aa4<\/h4>\n

    \u5b8c\u6210\u4e0a\u8ff0\u51c6\u5907\u5de5\u4f5c\u540e，\u6211\u4eec\u5c31\u53ef\u4ee5\u5b9e\u73b0 RAG \u7684\u6838\u5fc3\u903b\u8f91\u4e86 ，\u4e3b\u8981\u5305\u62ec\u5b9a\u4e49\u68c0\u7d22\u5668\u7ec4\u4ef6\u3001\u51c6\u5907\u63d0\u793a\u6a21\u677f\u4ee5\u53ca\u5c06\u68c0\u7d22\u589e\u5f3a\u63d0\u793a\u8f93\u5165\u5927\u6a21\u578b\u751f\u6210\u56de\u7b54 \u3002<\/p>\n

  • \u5b9a\u4e49\u68c0\u7d22\u5668\u7ec4\u4ef6：\u4ece\u5411\u91cf\u6570\u636e\u5e93\u4e2d\u68c0\u7d22\u4e0e\u7528\u6237\u67e5\u8be2\u76f8\u5173\u7684\u4e0a\u4e0b\u6587 \u3002\u8fd9\u91cc\u6211\u4eec\u4f7f\u7528\u5411\u91cf\u6570\u636e\u5e93\u7684\u9ed8\u8ba4\u68c0\u7d22\u65b9\u5f0f ：<\/li>\n

    retriever = vectorstore.as\\\\_retriever()<\/p>\n

  • \u51c6\u5907\u63d0\u793a\u6a21\u677f：\u6784\u5efa\u4e00\u4e2a\u63d0\u793a\u6a21\u677f，\u5c06\u68c0\u7d22\u5230\u7684\u4e0a\u4e0b\u6587\u4e0e\u7528\u6237\u67e5\u8be2\u7ed3\u5408\u8d77\u6765，\u5f62\u6210\u6700\u7ec8\u8f93\u5165\u7ed9\u5927\u6a21\u578b\u7684\u63d0\u793a \u3002\u4f8b\u5982：<\/li>\n

    from langchain.prompts import PromptTemplate<\/p>\n

    prompt\\\\_template = """Context information is below.<\/p>\n

    {context}<\/p>\n

    Based on the context information and not prior knowledge, answer the following question:<\/p>\n

    {question}<\/p>\n

    """<\/p>\n

    prompt = PromptTemplate(template = prompt\\\\_template, input\\\\_variables = \\\\["context", "question"])<\/p>\n

  • \u751f\u6210\u56de\u7b54：\u5c06\u7528\u6237\u67e5\u8be2\u548c\u68c0\u7d22\u5230\u7684\u4e0a\u4e0b\u6587\u4f20\u5165\u63d0\u793a\u6a21\u677f，\u7136\u540e\u5c06\u751f\u6210\u7684\u63d0\u793a\u8f93\u5165\u5230\u5927\u6a21\u578b\u4e2d，\u83b7\u53d6\u56de\u7b54 \u3002\u8fd9\u91cc\u4f7f\u7528 OpenAI \u7684ChatCompletion API ：<\/li>\n

    from langchain.chains import RetrievalQA<\/p>\n

    from langchain.chat\\\\_models import ChatOpenAI<\/p>\n

    llm = ChatOpenAI(openai\\\\_api\\\\_key = openai\\\\_api\\\\_key, model\\\\_name = "gpt-3.5-turbo")<\/p>\n

    qa\\\\_chain = RetrievalQA.from\\\\_chain\\\\_type(llm, retriever = retriever, chain\\\\_type\\\\_kwargs = {"prompt": prompt})<\/p>\n

    question = "What is the main idea of the text?"<\/p>\n

    result = qa\\\\_chain.run(question)<\/p>\n

    print(result)<\/p>\n

    \u4e0a\u8ff0\u4ee3\u7801\u4e2d，\u9996\u5148\u5b9a\u4e49\u4e86\u4e00\u4e2aRetrievalQA\u5bf9\u8c61qa_chain，\u5b83\u7ed3\u5408\u4e86\u5927\u6a21\u578bllm\u548c\u68c0\u7d22\u5668retriever，\u5e76\u4f7f\u7528\u4e86\u4e4b\u524d\u5b9a\u4e49\u7684\u63d0\u793a\u6a21\u677f \u3002\u7136\u540e，\u8bbe\u7f6e\u4e00\u4e2a\u793a\u4f8b\u95ee\u9898\u5e76\u8fd0\u884cqa_chain，\u6700\u7ec8\u6253\u5370\u51fa\u5927\u6a21\u578b\u751f\u6210\u7684\u56de\u7b54 \u3002\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4，\u6211\u4eec\u5c31\u5b8c\u6210\u4e86\u4e00\u4e2a\u7b80\u5355\u7684 RAG \u7cfb\u7edf\u7684\u5b9e\u73b0 ，\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u9700\u6c42\u5bf9\u4ee3\u7801\u8fdb\u884c\u8fdb\u4e00\u6b65\u4f18\u5316\u548c\u6269\u5c55 \u3002<\/p>\n

    \u516d\u3001\u5e94\u7528\u9886\u57df\u4e0e\u5c55\u671b<\/h3>\n

    RAG \u6280\u672f\u51ed\u501f\u5176\u72ec\u7279\u7684\u4f18\u52bf，\u5728\u4f17\u591a\u9886\u57df\u90fd\u5c55\u73b0\u51fa\u4e86\u5de8\u5927\u7684\u5e94\u7528\u6f5c\u529b ，\u4e3a\u5404\u884c\u4e1a\u7684\u667a\u80fd\u5316\u53d1\u5c55\u63d0\u4f9b\u4e86\u6709\u529b\u652f\u6301 \u3002<\/p>\n

    \u5728\u667a\u80fd\u5ba2\u670d\u9886\u57df，RAG \u53ef\u4ee5\u8ba9\u5ba2\u670d\u673a\u5668\u4eba\u5feb\u901f\u68c0\u7d22\u4f01\u4e1a\u7684\u4ea7\u54c1\u77e5\u8bc6\u5e93\u3001\u5e38\u89c1\u95ee\u9898\u89e3\u7b54\u5e93\u7b49，\u9488\u5bf9\u7528\u6237\u7684\u95ee\u9898\u7ed9\u51fa\u51c6\u786e\u3001\u8be6\u7ec6\u7684\u56de\u7b54 \u3002\u65e0\u8bba\u662f\u89e3\u7b54\u7528\u6237\u5bf9\u4ea7\u54c1\u529f\u80fd\u7684\u7591\u95ee，\u8fd8\u662f\u5904\u7406\u552e\u540e\u95ee\u9898，RAG \u90fd\u80fd\u5927\u5927\u63d0\u5347\u5ba2\u670d\u673a\u5668\u4eba\u7684\u670d\u52a1\u8d28\u91cf\u548c\u6548\u7387，\u51cf\u8f7b\u4eba\u5de5\u5ba2\u670d\u7684\u5de5\u4f5c\u538b\u529b \u3002<\/p>\n

    \u6559\u80b2\u9886\u57df，RAG \u53ef\u4f5c\u4e3a\u667a\u80fd\u8f85\u5bfc\u5de5\u5177，\u6839\u636e\u5b66\u751f\u7684\u95ee\u9898，\u4ece\u6559\u6750\u3001\u5b66\u672f\u8bba\u6587\u7b49\u8d44\u6599\u4e2d\u68c0\u7d22\u76f8\u5173\u5185\u5bb9，\u4e3a\u5b66\u751f\u63d0\u4f9b\u8be6\u7ec6\u51c6\u786e\u7684\u89e3\u7b54 \u3002\u8fd8\u80fd\u901a\u8fc7\u5206\u6790\u5b66\u751f\u7684\u5b66\u4e60\u60c5\u51b5\u548c\u95ee\u9898\u7c7b\u578b，\u63d0\u4f9b\u4e2a\u6027\u5316\u7684\u5b66\u4e60\u5efa\u8bae\u548c\u7ec3\u4e60\u63a8\u8350，\u5e2e\u52a9\u5b66\u751f\u66f4\u597d\u5730\u638c\u63e1\u77e5\u8bc6，\u63d0\u9ad8\u5b66\u4e60\u6548\u7387 \u3002<\/p>\n

    \u533b\u7597\u884c\u4e1a\u4e2d，\u533b\u751f\u501f\u52a9 RAG \u6280\u672f，\u53ef\u4ee5\u8bbf\u95ee\u6700\u65b0\u7684\u533b\u5b66\u6587\u732e\u3001\u4e34\u5e8a\u6307\u5357\u548c\u75c5\u4f8b\u6570\u636e \u3002\u5728\u8bca\u65ad\u75be\u75c5\u65f6，\u7cfb\u7edf\u68c0\u7d22\u76f8\u5173\u4fe1\u606f，\u4e3a\u533b\u751f\u63d0\u4f9b\u53c2\u8003，\u8f85\u52a9\u533b\u751f\u505a\u51fa\u66f4\u51c6\u786e\u7684\u8bca\u65ad\u548c\u6cbb\u7597\u65b9\u6848 \u3002\u6b64\u5916，RAG \u8fd8\u80fd\u7528\u4e8e\u533b\u5b66\u7814\u7a76，\u5e2e\u52a9\u79d1\u7814\u4eba\u5458\u5feb\u901f\u68c0\u7d22\u548c\u5206\u6790\u5927\u91cf\u7684\u533b\u5b66\u8d44\u6599，\u63a8\u52a8\u533b\u5b66\u9886\u57df\u7684\u7814\u7a76\u8fdb\u5c55 \u3002<\/p>\n

    \u6cd5\u5f8b\u884c\u4e1a\u91cc，\u6cd5\u5f8b\u4e13\u4e1a\u4eba\u58eb\u4f7f\u7528 RAG \u80fd\u591f\u5feb\u901f\u68c0\u7d22\u6cd5\u89c4\u3001\u5224\u4f8b\u548c\u6587\u4e66\u6458\u8981 \u3002\u5728\u5904\u7406\u6848\u4ef6\u65f6，\u5f8b\u5e08\u53ef\u4ee5\u901a\u8fc7 RAG \u8fc5\u901f\u627e\u5230\u76f8\u5173\u7684\u6cd5\u5f8b\u6761\u6587\u548c\u7c7b\u4f3c\u6848\u4f8b，\u4e3a\u6848\u4ef6\u7684\u5206\u6790\u548c\u8fa9\u62a4\u63d0\u4f9b\u6709\u529b\u652f\u6301 ，\u663e\u8457\u8282\u7ea6\u65f6\u95f4\u6210\u672c，\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387 \u3002<\/p>\n

    \u5c55\u671b\u672a\u6765，RAG \u6280\u672f\u8fd8\u6709\u5f88\u5927\u7684\u53d1\u5c55\u7a7a\u95f4 \u3002\u5728\u68c0\u7d22\u673a\u5236\u65b9\u9762，\u672a\u6765\u7684\u7814\u7a76\u5c06\u81f4\u529b\u4e8e\u8fdb\u4e00\u6b65\u63d0\u5347\u68c0\u7d22\u7684\u7cbe\u5ea6\u548c\u6548\u7387 \u3002\u901a\u8fc7\u4f18\u5316\u68c0\u7d22\u7b97\u6cd5，\u5229\u7528\u66f4\u5148\u8fdb\u7684\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f，\u8ba9 RAG \u80fd\u591f\u5728\u6d77\u91cf\u7684\u6570\u636e\u4e2d\u66f4\u5feb\u901f\u3001\u51c6\u786e\u5730\u627e\u5230\u6700\u76f8\u5173\u7684\u4fe1\u606f \u3002<\/p>\n

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