{"id":65603,"date":"2026-01-25T12:40:41","date_gmt":"2026-01-25T04:40:41","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/65603.html"},"modified":"2026-01-25T12:40:41","modified_gmt":"2026-01-25T04:40:41","slug":"%e5%91%a8%e7%ba%a2%e4%bc%9f%e3%80%8adeepseek%e4%bc%81%e4%b8%9a%e5%a4%a7%e6%a8%a1%e5%9e%8b%e7%9a%84%e4%bc%81%e4%b8%9a%e7%ba%a7%e9%83%a8%e7%bd%b2%e5%8f%8a%e4%bc%98%e5%8c%96%e5%92%8crag%e7%9f%a5%e8%af%86","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/65603.html","title":{"rendered":"\u5468\u7ea2\u4f1f\u300aDeepSeek\u4f01\u4e1a\u5927\u6a21\u578b\u7684\u4f01\u4e1a\u7ea7\u90e8\u7f72\u53ca\u4f18\u5316\u548cRAG\u77e5\u8bc6\u5e93\u548cAgent\u667a\u80fd\u4f53\u6784\u5efa\u7684\u6848\u4f8b\u4ea4\u4ed8\u5b9e\u64cd\u300b"},"content":{"rendered":"

\u2014\u2014\u4f01\u4e1a\u79c1\u6709RAG\u77e5\u8bc6\u5e93\u4e1a\u52a1\u52a9\u624b\u7684\u6784\u5efa<\/p>\n

\n

\u8bfe\u7a0b\u80cc\u666f<\/p>\n

\u5927\u89c4\u6a21\u9884\u8bad\u7ec3\u6a21\u578b\u5df2\u6210\u4e3a\u63a8\u52a8\u667a\u80fd\u5316\u8f6c\u578b\u7684\u6838\u5fc3\u52a8\u529b\u3002\u4eceDeepSeek<\/span>，Qwen, Yiyan<\/span> \u5230\u5404\u884c\u4e1a\u5b9a\u5236\u5316\u5927\u6a21\u578b，\u8d8a\u6765\u8d8a\u591a\u7684\u4f01\u4e1a\u5f00\u59cb\u5c06\u201c\u4ee5\u5927\u6a21\u578b\u4e3a\u4e2d\u53f0\u201d\u7684\u6280\u672f\u67b6\u6784\u878d\u5165\u4ea7\u54c1\u4e0e\u670d\u52a1\u3002<\/p>\n

\u7136\u800c，\u5927\u6a21\u578b\u7684\u8bbe\u8ba1\u539f\u7406\u3001\u90e8\u7f72\u65b9\u6848\u3001\u6027\u80fd\u4f18\u5316\u548c\u843d\u5730\u6848\u4f8b\u5f80\u5f80\u5177\u6709\u8f83\u9ad8\u7684\u6280\u672f\u95e8\u69db\u3002\u591a\u6570\u4ece\u4e1a\u4eba\u5458\u5bf9\u5927\u6a21\u578b\u7684\u6574\u4f53\u67b6\u6784\u3001\u5173\u952e\u6280\u672f\u7ec6\u8282\u3001\u7aef\u5230\u7aef\u5b9e\u64cd\u6d41\u7a0b\u7f3a\u4e4f\u7cfb\u7edf\u5316\u8ba4\u77e5，\u96be\u4ee5\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\u5feb\u901f\u6709\u6548\u5730\u8fd0\u7528\u3002<\/p>\n

\u672c\u8bfe\u7a0b\u7531\u6d45\u5165\u6df1\u3001\u7406\u8bba\u4e0e\u5b9e\u64cd\u5e76\u91cd，\u805a\u7126\u5927\u6a21\u578b\u7684\u6838\u5fc3\u6280\u672f\u4f53\u7cfb\u3001\u5178\u578b\u5f00\u6e90\u4e0e\u5546\u7528\u6a21\u578b\u5bf9\u6bd4\u3001\u524d\u6cbf\u7684 Prompt \u5de5\u7a0b\u4e0e\u68c0\u7d22\u751f\u6210（RAG）\u667a\u80fd\u4f53\u89e3\u51b3\u65b9\u6848，\u5e2e\u52a9\u5b66\u5458\u5728\u4e24\u5929\u5185\u6784\u5efa\u5b8c\u6574\u7684\u77e5\u8bc6\u6846\u67b6\u4e0e\u843d\u5730\u80fd\u529b\u3002<\/p>\n

\n

\u8bfe\u7a0b\u6536\u76ca<\/p>\n

  • \u7cfb\u7edf\u5316\u638c\u63e1\u5927\u6a21\u578b\u6838\u5fc3\u539f\u7406：\u7406\u89e3\u5927\u6a21\u578b\u7684\u6982\u5ff5\u3001\u53d1\u5c55\u8109\u7edc\u4e0e\u5173\u952e\u6280\u672f，\u5bf9\u6bd4\u4e3b\u6d41\u5927\u6a21\u578b\u7684\u6027\u80fd\u4e0e\u5e94\u7528\u573a\u666f<\/li>\n
  • \u6df1\u5ea6\u4f53\u9a8c DeepSeek \u5e73\u53f0\u6280\u672f\u6808：\u5206\u6790 DeepSeek-V3 \u4e0e DeepSeek-R1 \u67b6\u6784\u5dee\u5f02，\u7cbe\u901a Prompt \u5de5\u7a0b：\u8bbe\u8ba1\u3001\u8c03\u4f18\u4e0e\u5e38\u89c1\u9677\u9631<\/li>\n
  • \u719f\u7ec3\u642d\u5efa\u4e0e\u4f18\u5316\u5927\u6a21\u578b\u90e8\u7f72\u73af\u5883：\u638c\u63e1\u5355\u673a\u3001\u5206\u5e03\u5f0f\u53ca\u4e91\u539f\u751f\u90e8\u7f72\u65b9\u6848，\u5b9e\u6218 GPU\/\u96c6\u7fa4\u8c03\u4f18\u3001\u91cf\u5316\u3001\u526a\u679d\u7b49\u6027\u80fd\u4f18\u5316\u7b56\u7565<\/li>\n
  • \u6784\u5efa\u667a\u80fd\u4f53\u4e0e RAG \u89e3\u51b3\u65b9\u6848：\u638c\u63e1\u57fa\u4e8e\u5927\u6a21\u578b\u7684\u667a\u80fd\u5ba2\u670d\u3001\u91d1\u878d\/\u533b\u7597\u95ee\u7b54\u7b49\u5178\u578b\u5e94\u7528，\u843d\u5730\u68c0\u7d22\u589e\u5f3a\u751f\u6210（RAG）\u667a\u80fd\u4f53\u9879\u76ee：\u4ece\u7d22\u5f15\u6784\u5efa\u5230\u6a21\u578b\u96c6\u6210<\/li>\n

    \u57f9\u8bad\u65f6\u957f<\/p>\n

    2\u5929<\/p>\n

    \n

    \u8bfe\u7a0b\u5927\u7eb2<\/p>\n

    \u7b2c\u4e00\u90e8\u5206 \u5927\u6a21\u578b\u5546\u7528\u90e8\u7f72\u7684\u73b0\u72b6\u4e0e\u4f4e\u6210\u672c\u4f18\u5316\u90e8\u7f72\u65b9\u6848<\/h3>\n

    1.\u5927\u6a21\u578b\u5546\u7528\u90e8\u7f72<\/p>\n

    1.1 \u5927\u6a21\u578b\u5546\u7528\u90e8\u7f72\u7684\u73b0\u72b6\u4e0e\u6311\u6218<\/p>\n

    1.1.1 \u5f53\u524d\u4e3b\u6d41\u5927\u6a21\u578b\u6982\u8ff0（GPT\u3001LLaMA\u3001Claude\u7b49）<\/p>\n

    1.1.2 \u5546\u7528\u90e8\u7f72\u9762\u4e34\u7684\u6838\u5fc3\u95ee\u9898（\u6210\u672c\u3001\u6027\u80fd\u3001\u53ef\u6269\u5c55\u6027）<\/p>\n

    1.1.3 \u4f4e\u6210\u672c\u90e8\u7f72\u7684\u5546\u4e1a\u4ef7\u503c\u4e0e\u5e02\u573a\u673a\u4f1a<\/p>\n

    2. \u5927\u6a21\u578b\u90e8\u7f72\u57fa\u7840<\/p>\n

    2.1 \u5927\u6a21\u578b\u90e8\u7f72\u67b6\u6784\u6982\u8ff0<\/p>\n

    2.1.1 \u4e91\u7aef\u90e8\u7f72 vs \u8fb9\u7f18\u90e8\u7f72<\/p>\n

    2.1.2 \u5fae\u670d\u52a1\u67b6\u6784\u8bbe\u8ba1<\/p>\n

    2.1.3 \u5bb9\u5668\u5316\u4e0e\u7f16\u6392\u6280\u672f（Docker, Kubernetes）<\/p>\n

    2.2 \u786c\u4ef6\u9009\u578b\u4e0e\u6210\u672c\u5206\u6790<\/p>\n

    2.2.1 GPU\u9009\u62e9\u7b56\u7565<\/p>\n

    2.2.2 \u6df7\u5408\u7cbe\u5ea6\u8ba1\u7b97\u4f18\u5316<\/p>\n

    2.2.3 \u5f02\u6784\u8ba1\u7b97\u8d44\u6e90\u5229\u7528<\/p>\n

    3. \u4e3b\u6d41\u4f4e\u6210\u672c\u90e8\u7f72\u65b9\u6848<\/p>\n

    3.1 \u6a21\u578b\u91cf\u5316\u6280\u672f<\/p>\n

    3.1.1 8-bit\/4-bit\u91cf\u5316\u539f\u7406\u4e0e\u5b9e\u8df5<\/p>\n

    3.1.2 GPTQ\u3001AWQ\u7b49\u91cf\u5316\u65b9\u6cd5\u6bd4\u8f83<\/p>\n

    3.1.3 \u91cf\u5316\u5bf9\u63a8\u7406\u6027\u80fd\u7684\u5f71\u54cd<\/p>\n

    3.2 \u6a21\u578b\u526a\u679d\u4e0e\u84b8\u998f<\/p>\n

    3.2.1 \u7ed3\u6784\u5316\u4e0e\u975e\u7ed3\u6784\u5316\u526a\u679d<\/p>\n

    3.2.2 \u77e5\u8bc6\u84b8\u998f\u6280\u672f<\/p>\n

    3.2.3 \u5e08\u751f\u6a21\u578b\u534f\u540c\u8bad\u7ec3<\/p>\n

    3.3 \u53c2\u6570\u9ad8\u6548\u5fae\u8c03(PEFT)<\/p>\n

    3.3.1 LoRA\u53ca\u5176\u53d8\u4f53<\/p>\n

    3.3.2 Adapter\u6a21\u5757\u8bbe\u8ba1<\/p>\n

    3.3.3 Prefix-tuning\u6280\u672f<\/p>\n

    4. \u5927\u6a21\u578b\u63a8\u7406\u4f18\u5316\u6280\u672f<\/p>\n

    4.1 \u8ba1\u7b97\u56fe\u4f18\u5316<\/p>\n

    4.1.1 \u7b97\u5b50\u878d\u5408\u6280\u672f<\/p>\n

    4.1.2 \u5185\u5b58\u4f18\u5316\u7b56\u7565<\/p>\n

    4.1.3 \u6279\u5904\u7406(Batching)\u6280\u672f<\/p>\n

    4.2 \u63a8\u7406\u52a0\u901f\u6846\u67b6<\/p>\n

    4.2.1 TensorRT\u4f18\u5316\u5b9e\u8df5<\/p>\n

    4.2.2 ONNX Runtime\u90e8\u7f72<\/p>\n

    4.2.3 vLLM\u7b49\u4e13\u7528\u63a8\u7406\u6846\u67b6<\/p>\n

    \n

    4.3 \u7f13\u5b58\u4e0e\u68c0\u7d22\u589e\u5f3a<\/p>\n

    4.3.1 KV Cache\u4f18\u5316<\/p>\n

    4.3.2 \u6ce8\u610f\u529b\u673a\u5236\u6539\u8fdb<\/p>\n

    4.3.3 RAG(\u68c0\u7d22\u589e\u5f3a\u751f\u6210)\u7cfb\u7edf<\/p>\n

    5. \u5927\u6a21\u578b\u90e8\u7f72\u7cfb\u7edf\u7ea7\u4f18\u5316\u65b9\u6848<\/p>\n

    5.1 \u5206\u5e03\u5f0f\u63a8\u7406<\/p>\n

    5.1.1 \u6a21\u578b\u5e76\u884c\u7b56\u7565<\/p>\n

    5.1.2 \u6d41\u6c34\u7ebf\u5e76\u884c\u6280\u672f<\/p>\n

    5.1.3 \u5f20\u91cf\u5e76\u884c\u5b9e\u73b0<\/p>\n

    5.2 \u5f39\u6027\u4f38\u7f29\u4e0e\u81ea\u52a8\u6269\u5c55<\/p>\n

    5.2.1 \u57fa\u4e8e\u8d1f\u8f7d\u9884\u6d4b\u7684\u6269\u5c55<\/p>\n

    5.2.2 \u51b7\u542f\u52a8\u4f18\u5316<\/p>\n

    5.2.3 \u6df7\u5408\u7cbe\u5ea6\u81ea\u52a8\u5207\u6362<\/p>\n

    5.3 \u8fb9\u7f18\u8ba1\u7b97\u4e0e\u6df7\u5408\u90e8\u7f72<\/p>\n

    5.3.1 \u8fb9\u7f18\u8bbe\u5907\u90e8\u7f72\u65b9\u6848<\/p>\n

    5.3.2 \u4e91\u7aef-\u8fb9\u7f18\u534f\u540c\u63a8\u7406<\/p>\n

    5.3.3 \u6a21\u578b\u5206\u7247\u6280\u672f<\/p>\n

    6. \u5927\u6a21\u578b\u90e8\u7f72\u6210\u672c\u63a7\u5236\u4e0e\u76d1\u63a7<\/p>\n

    6.1 \u8d44\u6e90\u5229\u7528\u7387\u4f18\u5316<\/p>\n

    6.1.1 \u8ba1\u7b97\u8d44\u6e90\u76d1\u63a7<\/p>\n

    6.1.2 \u5185\u5b58\u4f7f\u7528\u5206\u6790<\/p>\n

    6.1.3 \u80fd\u8017\u7ba1\u7406<\/p>\n

    6.2 \u6210\u672c\u4f30\u7b97\u6a21\u578b<\/p>\n

    6.2.1 \u63a8\u7406\u6210\u672c\u8ba1\u7b97\u6846\u67b6<\/p>\n

    6.2.2 \u8bad\u7ec3\u6210\u672c\u56de\u6536\u5206\u6790<\/p>\n

    6.2.3 ROI\u8bc4\u4f30\u65b9\u6cd5<\/p>\n

    6.3 \u6027\u80fd-\u6210\u672c\u6743\u8861<\/p>\n

    6.3.1 \u5ef6\u8fdf\u4e0e\u51c6\u786e\u7387\u5e73\u8861<\/p>\n

    6.3.2 \u670d\u52a1\u8d28\u91cf(SLA)\u7ba1\u7406<\/p>\n

    6.3.3 \u81ea\u9002\u5e94\u964d\u7ea7\u7b56\u7565<\/p>\n

    \u7b2c\u4e8c\u90e8\u5206 DeepSeek，Qwen, Yiyan\u6280\u672f\u89e3\u6790\u548c\u5173\u952e\u5e94\u7528<\/h3>\n

    2.1 DeepSeek-V3 \u4e0e DeepSeek-R1 \u6280\u672f\u5bf9\u6bd4<\/p>\n

    \u00a0 2.1.1 \u67b6\u6784\u5dee\u5f02<\/p>\n

    \u00a0 2.1.2 \u6027\u80fd\u6307\u6807\u5bf9\u6bd4<\/p>\n

    \u00a0 2.1.3 \u5e94\u7528\u5b9a\u4f4d\u5dee\u5f02<\/p>\n

    2.2 \u6a21\u578b\u89e3\u6790<\/p>\n

    \u00a0 2.2.1 \u7f51\u7edc\u7ed3\u6784\u8be6\u89e3<\/p>\n

    \u00a0 2.2.2 \u53c2\u6570\u91cf\u3001\u8ba1\u7b97\u6210\u672c\u4e0e\u7b97\u529b\u9700\u6c42<\/p>\n

    2.3 \u6848\u4f8b\u5b9e\u64cd：\u63d0\u793a\u8bcd\u5de5\u7a0b（Prompt Engineering）\u5e94\u7528\u6848\u4f8b\u5b9e\u8df5<\/p>\n

    \u00a0 2.3.1 \u57fa\u672c\u539f\u5219\u4e0e\u65b9\u6cd5<\/p>\n

    \u00a0 2.3.2 \u63d0\u793a\u8bcd\u8bbe\u8ba1\u6280\u5de7<\/p>\n

    \u00a0 2.3.3 \u5e38\u89c1\u5751\u4e0e\u4f18\u5316\u6848\u4f8b<\/p>\n

    2.4 DeepSeek \u5e94\u7528\u4e0e\u7cfb\u7edf\u67b6\u6784<\/p>\n

    \u00a0 2.4.1 \u5178\u578b\u5e94\u7528\u573a\u666f<\/p>\n

    \u00a0 2.4.2 \u6574\u4f53\u7cfb\u7edf\u67b6\u6784<\/p>\n

    \u00a0 2.4.3 \u9ad8\u53ef\u7528\u3001\u9ad8\u5e76\u53d1\u8bbe\u8ba1\u8981\u70b9<\/p>\n

    \n

    \u7b2c\u4e09\u90e8\u5206 \u5927\u6a21\u578b（DeepSeek，Qwen, Yiyan）\u4f01\u4e1a\u7ea7\u90e8\u7f72\u7684\u5de5\u7a0b\u5316\u65b9\u6cd5\u6848\u4f8b\u5b9e\u64cd<\/h3>\n

    3.1 \u90e8\u7f72\u67b6\u6784\u4e0e\u65b9\u6848：vllm\u90e8\u7f72\u548csgLang\u90e8\u7f72\u5bf9\u6bd4\u5206\u6790<\/p>\n

    \u00a0 3.1.1 \u5355\u673a\u90e8\u7f72<\/p>\n

    \u00a0 3.1.2 \u5206\u5e03\u5f0f\u90e8\u7f72<\/p>\n

    \u00a0 3.1.3 \u4e91\u7aef\u539f\u751f\u90e8\u7f72<\/p>\n

    3.2 \u90e8\u7f72\u65b9\u6848\u5bf9\u6bd4\u4e0e\u9009\u578b<\/p>\n

    \u00a0 3.2.1 \u6210\u672c vs \u6027\u80fd<\/p>\n

    \u00a0 3.2.2 \u53ef\u7ef4\u62a4\u6027\u4e0e\u6269\u5c55\u6027<\/p>\n

    3.3 \u5b66\u4e60\u73af\u5883\u642d\u5efa<\/p>\n

    \u00a0 3.3.1 \u786c\u4ef6\u51c6\u5907（GPU\u3001\u5b58\u50a8\u3001\u7f51\u7edc）<\/p>\n

    \u00a0 3.3.2 \u8f6f\u4ef6\u5b89\u88c5\u4e0e\u4f9d\u8d56\u7ba1\u7406<\/p>\n

    3.4 \u00a0API \u4e0e\u5e94\u7528\u5f00\u53d1<\/p>\n

    \u00a0 3.4.1 \u5e38\u7528 RESTful \u63a5\u53e3<\/p>\n

    \u00a0 3.4.2 SDK \u4f7f\u7528\u793a\u4f8b<\/p>\n

    \u00a0 3.4.3 \u5b89\u5168\u8ba4\u8bc1\u4e0e\u9650\u6d41\u7b56\u7565<\/p>\n

    3.5 \u5173\u952e\u6280\u672f\u7279\u70b9<\/p>\n

    \u00a0 3.5.1 \u6027\u80fd\u4f18\u5316（\u5e76\u884c\u8ba1\u7b97\u3001\u91cf\u5316\u3001\u526a\u679d）<\/p>\n

    \u00a0 3.5.2 \u5b89\u5168\u4e0e\u9690\u79c1\u4fdd\u62a4（\u5dee\u5206\u9690\u79c1\u3001\u6a21\u578b\u6c34\u5370）<\/p>\n

    3.6 \u6848\u4f8b\u5b9e\u8df5\u6f14\u7ec3<\/span><\/p>\n

    \u00a0 3.6.1 \u4ece\u96f6\u642d\u5efa DeepSeek \u670d\u52a1<\/p>\n

    \u00a0 3.6.2 \u7f16\u5199\u793a\u4f8b\u5ba2\u6237\u7aef\u5e76\u5b8c\u6210\u8c03\u7528<\/p>\n

    \n

    \n

    \u7b2c\u56db\u90e8\u5206 \u6848\u4f8b\u5b9e\u64cd：\u5927\u6a21\u578b\u90e8\u7f72\u67b6\u6784\u4e0e\u65b9\u6848\u53ca\u5b9e\u64cd<\/span><\/h3>\n

    4.1 \u90e8\u7f72\u67b6\u6784：vLLm\u548csgLang\u90e8\u7f72\u6848\u4f8b\u5b9e\u64cd<\/p>\n

    \u00a0 4.1.1 \u7aef\u4fa7\u90e8\u7f72<\/p>\n

    \u00a0 4.1.2 \u8fb9\u7f18\u90e8\u7f72<\/p>\n

    \u00a0 4.1.3 \u4e91\u7aef\u90e8\u7f72<\/p>\n

    4.2 \u5404\u90e8\u7f72\u65b9\u6848\u5bf9\u6bd4<\/p>\n

    \u00a0 4.2.1 \u5ef6\u8fdf vs \u541e\u5410<\/p>\n

    \u00a0 4.2.2 \u6210\u672c vs \u53ef\u6269\u5c55\u6027<\/p>\n

    4.3 \u5b9e\u64cd\u6f14\u7ec3<\/p>\n

    \u00a0 4.3.1 \u73af\u5883\u51c6\u5907\u4e0e\u811a\u672c\u5316\u90e8\u7f72<\/p>\n

    \u00a0 4.3.2 \u6a21\u578b\u4e0a\u7ebf\u4e0e\u7070\u5ea6\u53d1\u5e03<\/p>\n

    \n

    \u7b2c\u4e94\u90e8\u5206 \u667a\u80fd\u4f53（Agent）\u67b6\u6784\u4e0e\u5b9e\u73b0\u3001\u5e94\u7528\u6848\u4f8b\u4e0e\u5b9e\u8df5<\/h3>\n

    5.1 \u667a\u80fd\u4f53\u67b6\u6784\u6982\u8ff0<\/p>\n

    \u00a0 5.1.1 \u611f\u77e5\u5c42（\u8f93\u5165\u5904\u7406）<\/p>\n

    \u00a0 5.1.2 \u51b3\u7b56\u5c42（\u7b56\u7565\u89c4\u5212）<\/p>\n

    \u00a0 5.1.3 \u6267\u884c\u5c42（\u52a8\u4f5c\u8f93\u51fa）<\/p>\n

    5.2 \u667a\u80fd\u4f53\u5b9e\u73b0\u5173\u952e\u6280\u672f<\/p>\n

    \u00a0 5.2.1 \u4efb\u52a1\u5206\u89e3\u4e0e\u89c4\u5212\u7b97\u6cd5<\/p>\n

    \u00a0 5.2.2 \u591a\u6a21\u6001\u878d\u5408\u4e0e\u77e5\u8bc6\u5e93\u63a5\u5165<\/p>\n

    5.3 \u5178\u578b\u5e94\u7528\u6848\u4f8b<\/p>\n

    \u00a0 5.3.1 \u667a\u80fd\u5ba2\u670d\u673a\u5668\u4eba<\/p>\n

    \u00a0 5.3.2 \u5de5\u4e1a\u8d28\u68c0\u4e0e\u76d1\u63a7\u667a\u80fd\u4f53<\/p>\n

    5.4 \u5b9e\u8df5\u6f14\u7ec3<\/p>\n

    \u00a0 5.4.1 \u57fa\u4e8e\u5927\u6a21\u578b\u6784\u5efa\u7b80\u5355\u667a\u80fd\u4f53<\/p>\n

    \u00a0 5.4.2 \u90e8\u7f72\u4e0e\u6548\u679c\u8bc4\u4f30<\/p>\n

    \n

    \u7b2c\u516d\u90e8\u5206 RAG \u667a\u80fd\u4f53\u67b6\u6784\u4e0e\u5b9e\u73b0\u3001\u5e94\u7528\u6848\u4f8b\u4e0e\u5b9e\u8df5<\/h3>\n

    6.1 RAG \u539f\u7406\u4e0e\u6d41\u7a0b<\/p>\n

    \u00a0 6.1.1 \u68c0\u7d22（Retrieval）\u673a\u5236<\/p>\n

    \u00a0 6.1.2 \u751f\u6210（Generation）\u673a\u5236<\/p>\n

    6.2 RAG \u667a\u80fd\u4f53\u7cfb\u7edf\u67b6\u6784<\/p>\n

    \u00a0 6.2.1 \u7d22\u5f15\u6784\u5efa\u4e0e\u7ba1\u7406<\/p>\n

    \u00a0 6.2.2 \u68c0\u7d22\u6a21\u5757\u8bbe\u8ba1<\/p>\n

    \u00a0 6.2.3 \u751f\u6210\u6a21\u5757\u96c6\u6210<\/p>\n

    6.3 \u5e94\u7528\u6848\u4f8b<\/p>\n

    \u00a0 6.3.1 \u4f01\u4e1a\u95ee\u7b54\u7cfb\u7edf<\/p>\n

    \u00a0 6.3.2 \u4f01\u4e1a\u4e1a\u52a1\u54a8\u8be2\u52a9\u624b<\/p>\n

    6.4 \u5b9e\u8df5\u6f14\u7ec3<\/p>\n

    \u00a0 6.4.1 \u642d\u5efa\u5411\u91cf\u68c0\u7d22\u670d\u52a1<\/p>\n

    \u00a0 6.4.2 \u96c6\u6210\u751f\u6210\u6a21\u578b，\u90e8\u7f72 RAG \u667a\u80fd\u4f53<\/p>\n

    \n

    \n

    \n","protected":false},"excerpt":{"rendered":"

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