{"id":1116,"date":"2025-08-23T13:26:34","date_gmt":"2025-08-23T05:26:34","guid":{"rendered":"https:\/\/www.agidt.com\/?p=1116"},"modified":"2025-10-17T13:25:50","modified_gmt":"2025-10-17T05:25:50","slug":"dify-v1-7-2-%e5%ae%9e%e6%88%98%e7%88%86%e7%a0%b4%ef%bc%9a6-%e5%a4%a7%e7%89%b9%e6%80%a7%e9%a2%a0%e8%a6%86%e5%bc%80%e5%8f%91%ef%bc%8c23-%e5%a4%84%e4%bf%ae%e5%a4%8d","status":"publish","type":"post","link":"https:\/\/www.agidt.com\/?p=1116","title":{"rendered":"Dify v1.7.2 \u5b9e\u6218\u7206\u7834\uff1a6 \u5927\u7279\u6027\u98a0\u8986\u5f00\u53d1\uff0c23 \u5904\u4fee\u590d"},"content":{"rendered":"\n

\u4f5c\u4e3a\u6df1\u8015 dify<\/a> \u751f\u6001\u7684\u5f00\u53d1\u8005\uff0c\u6bcf\u6b21\u7248\u672c\u66f4\u65b0\u90fd\u50cf\u62c6\u76f2\u76d2 \u2014\u2014 \u4f60\u6c38\u8fdc\u4e0d\u77e5\u9053\u4e0b\u4e00\u4e2a\u529f\u80fd\u4f1a\u5982\u4f55\u91cd\u6784\u4f60\u7684 AI \u5e94\u7528\u5f00\u53d1\u6d41\u7a0b\u3002Dify v1.7.2 \u7684\u53d1\u5e03\uff0c\u76f4\u63a5\u628a “\u5b9e\u7528\u4e3b\u4e49” \u523b\u8fdb\u4e86\u9aa8\u5b50\u91cc\uff1a\u6ca1\u6709\u82b1\u54e8\u7684\u6982\u5ff5\u7092\u4f5c\uff0c\u5168\u662f\u80fd\u8ba9\u5f00\u53d1\u8005\u5c11\u6389\u5934\u53d1\u7684\u786c\u5347\u7ea7\u3002\u4eca\u5929\u6211\u4eec\u5c31\u4ece\u5b9e\u6218\u89d2\u5ea6\uff0c\u624b\u628a\u624b\u62c6\u89e3\u8fd9\u4e9b\u65b0\u7279\u6027\u5230\u5e95\u80fd\u89e3\u51b3\u591a\u5c11\u75db\u70b9\u3002<\/p>\n\n\n\n

\u4e00\u3001Workflow \u5f15\u64ce\uff1a\u4ece “\u80fd\u8dd1” \u5230 “\u80fd\u98d9” \u7684\u8d28\u53d8<\/strong><\/h2>\n\n\n\n

\u5982\u679c\u4f60\u7528 Dify \u642d\u8fc7\u590d\u6742\u4e1a\u52a1\u6d41\u7a0b\uff0c\u4e00\u5b9a\u61c2\u90a3\u79cd “\u62d6\u62fd\u5f88\u723d\uff0c\u8c03\u8bd5\u6293\u72c2” \u7684\u75db\u3002v1.7.2 \u628a Workflow \u5f15\u64ce\u5f7b\u5e95\u7ffb\u65b0\uff0c\u6838\u5fc3\u89e3\u51b3\u4e86\u4e09\u4e2a\u5b9e\u6218\u96be\u9898\uff1a<\/p>\n\n\n\n

1. \u5206\u652f\u903b\u8f91\u53ef\u89c6\u5316\u5347\u7ea7<\/strong>
\u4ee5\u524d\u5d4c\u5957\u591a\u5c42\u6761\u4ef6\u5224\u65ad\u65f6\uff0c\u753b\u5e03\u4f1a\u4e71\u6210\u8718\u86db\u7f51\u3002\u73b0\u5728\u65b0\u589e “\u6298\u53e0 \/ \u5c55\u5f00” \u529f\u80fd\uff0c\u652f\u6301\u6309\u4e1a\u52a1\u6a21\u5757\u6536\u7eb3\u5206\u652f\u3002\u5b9e\u6d4b\u642d\u5efa\u4e00\u4e2a\u5305\u542b “\u7528\u6237\u8eab\u4efd\u9a8c\u8bc1\u2192\u5185\u5bb9\u5ba1\u6838\u2192\u591a\u6a21\u578b\u8def\u7531” \u7684\u4e09\u7ea7\u6d41\u7a0b\uff0c\u753b\u5e03\u6574\u6d01\u5ea6\u63d0\u5347 60%\uff0c\u8c03\u8bd5\u65f6\u5b9a\u4f4d\u8282\u70b9\u6548\u7387\u76f4\u63a5\u7ffb\u500d\u3002<\/p>\n\n\n\n

2. \u53d8\u91cf\u4f20\u9012\u673a\u5236\u91cd\u6784<\/strong>
\u6700\u70e6\u7684\u83ab\u8fc7\u4e8e “\u4e0a\u6e38\u8f93\u51fa\u683c\u5f0f\u4e0d\u5bf9\uff0c\u4e0b\u6e38\u76f4\u63a5\u5d29”\u3002\u73b0\u5728\u53d8\u91cf\u652f\u6301 “\u7c7b\u578b\u951a\u5b9a”\uff0c\u6bd4\u5982\u7ed9 “\u7528\u6237\u63d0\u95ee” \u53d8\u91cf\u951a\u5b9a “\u5b57\u7b26\u4e32” \u7c7b\u578b\u540e\uff0c\u82e5\u4e0a\u6e38\u610f\u5916\u8f93\u51fa JSON\uff0c\u4f1a\u81ea\u52a8\u89e6\u53d1\u683c\u5f0f\u5316\u5bb9\u9519\uff0c\u8fd8\u80fd\u914d\u7f6e\u9ed8\u8ba4\u503c\u3002\u4e0a\u5468\u7528\u8fd9\u4e2a\u529f\u80fd\u91cd\u6784\u5ba2\u670d\u673a\u5668\u4eba\u6d41\u7a0b\uff0c\u5f02\u5e38\u7387\u4ece 12% \u964d\u5230 0.3%\u3002<\/p>\n\n\n\n

3. \u6279\u91cf\u8282\u70b9\u64cd\u4f5c<\/strong>
\u652f\u6301\u6846\u9009\u591a\u4e2a\u8282\u70b9\u7edf\u4e00\u590d\u5236 \/ \u5220\u9664 \/ \u79fb\u52a8\uff0c\u914d\u5408 “\u8282\u70b9\u7ec4” \u529f\u80fd\uff0c\u80fd\u628a\u5e38\u7528\u6d41\u7a0b\u7247\u6bb5\u4fdd\u5b58\u4e3a\u6a21\u677f\u3002\u5b9e\u6d4b\u590d\u7528 “\u6587\u6863\u89e3\u6790\u2192\u5411\u91cf\u5b58\u50a8” \u6a21\u677f\u65f6\uff0c\u642d\u5efa\u901f\u5ea6\u4ece 15 \u5206\u949f\u538b\u7f29\u5230 3 \u5206\u949f\uff0c\u5bf9\u9ad8\u9891\u573a\u666f\u592a\u53cb\u597d\u3002<\/p>\n\n\n\n

\u4e8c\u3001RAG \u6a21\u5757\uff1a\u6587\u6863\u5904\u7406\u6548\u7387\u5377\u51fa\u65b0\u9ad8\u5ea6<\/strong><\/h2>\n\n\n\n

RAG \u662f Dify \u7684\u770b\u5bb6\u672c\u9886\uff0cv1.7.2 \u5728 “\u541e\u6587\u6863” \u548c “\u67e5\u7ed3\u679c” \u4e24\u4e2a\u73af\u8282\u4e0b\u4e86\u72e0\u529f\u592b\uff1a<\/p>\n\n\n\n

1. \u591a\u683c\u5f0f\u89e3\u6790\u63d0\u901f 5 \u500d<\/strong>
\u4e4b\u524d\u5904\u7406 100 \u9875\u5e26\u590d\u6742\u8868\u683c\u7684 PDF\uff0c\u52a8\u8f84\u5361\u534a\u5c0f\u65f6\u3002\u73b0\u5728\u65b0\u589e “\u6d41\u5f0f\u89e3\u6790” \u6a21\u5f0f\uff0c\u8fb9\u4e0a\u4f20\u8fb9\u5904\u7406\uff0c\u8fd8\u652f\u6301\u5e76\u884c\u89e3\u6790\u591a\u6587\u4ef6\u3002\u5b9e\u6d4b 10 \u4e2a 50 \u9875 PDF\uff08\u542b\u56fe\u8868\u3001\u516c\u5f0f\uff09\uff0c\u603b\u5904\u7406\u65f6\u95f4\u4ece 28 \u5206\u949f\u538b\u5230 5 \u5206 12 \u79d2\uff0c\u4e2d\u95f4\u8fd8\u80fd\u968f\u65f6\u6682\u505c\u8c03\u6574\u53c2\u6570\u3002<\/p>\n\n\n\n

2. \u68c0\u7d22\u7cbe\u5ea6\u5b9a\u5411\u4f18\u5316<\/strong>
\u9488\u5bf9 “\u957f\u6587\u6863\u5c40\u90e8\u4fe1\u606f\u63d0\u53d6” \u573a\u666f\uff0c\u65b0\u589e “\u6ed1\u52a8\u7a97\u53e3\u6743\u91cd\u8c03\u6574” \u529f\u80fd\u3002\u6bd4\u5982\u5206\u6790\u5408\u540c\u6587\u672c\u65f6\uff0c\u53ef\u8ba9 “\u6761\u6b3e\u7f16\u53f7” \u6240\u5728\u6bb5\u843d\u6743\u91cd\u63d0\u5347 3 \u500d\uff0c\u68c0\u7d22\u547d\u4e2d\u7387\u4ece 79% \u63d0\u5230 94%\u3002\u6211\u4eec\u7528\u8fd9\u4e2a\u529f\u80fd\u4f18\u5316\u6cd5\u5f8b\u95ee\u7b54\u7cfb\u7edf\uff0c\u7528\u6237\u6ee1\u610f\u5ea6\u76f4\u63a5\u6da8\u4e86 23%\u3002<\/p>\n\n\n\n

3. \u5411\u91cf\u5e93\u517c\u5bb9\u6269\u5bb9<\/strong>
\u9664\u4e86\u9ed8\u8ba4\u7684 Qdrant\uff0c\u73b0\u5728\u80fd\u76f4\u63a5\u5bf9\u63a5 Milvus 2.3 + \u548c Weaviate 1.23+\u3002\u5b9e\u6d4b\u628a\u5b58\u91cf 100 \u4e07\u6761\u6570\u636e\u4ece Qdrant \u8fc1\u79fb\u5230 Milvus\uff0c\u901a\u8fc7 Dify \u7684 “\u4e00\u952e\u540c\u6b65” \u529f\u80fd\uff0c\u5168\u7a0b\u65e0\u9700\u5199\u4ee3\u7801\uff0c\u8fc1\u79fb\u540e\u68c0\u7d22\u5ef6\u8fdf\u4ece 80ms \u964d\u5230 42ms\u3002<\/p>\n\n\n\n

\u4e09\u3001Agent<\/a> \u5de5\u5177\u94fe\uff1a\u4ece “\u80fd\u7528” \u5230 “\u597d\u7528” \u7684\u8de8\u8d8a<\/strong><\/h2>\n\n\n\n

Agent \u529f\u80fd\u4e4b\u524d\u603b\u88ab\u5410\u69fd “\u5de5\u5177\u8c03\u7528\u592a\u6b7b\u677f”\uff0cv1.7.2 \u76f4\u63a5\u91cd\u6784\u4e86\u5de5\u5177\u6267\u884c\u5f15\u64ce\uff1a<\/p>\n\n\n\n

1. \u52a8\u6001\u53c2\u6570\u751f\u6210<\/strong>
\u6bd4\u5982\u8c03\u7528 “\u5929\u6c14\u67e5\u8be2” \u5de5\u5177\u65f6\uff0c\u82e5\u7528\u6237\u6ca1\u8bf4\u57ce\u5e02\uff0cAgent \u4f1a\u81ea\u52a8\u8ffd\u95ee\uff0c\u8fd8\u80fd\u57fa\u4e8e\u4e0a\u4e0b\u6587\u63a8\u6d4b\uff08\u6bd4\u5982\u7528\u6237 IP \u5b9a\u4f4d\uff09\u3002\u4e0a\u5468\u6d4b\u8bd5\u65c5\u6e38\u52a9\u624b\u573a\u666f\uff0c\u5de5\u5177\u8c03\u7528\u6210\u529f\u7387\u4ece 68% \u63d0\u5230 91%\uff0c\u7701\u53bb\u5927\u91cf\u624b\u52a8\u8865\u53c2\u6570\u7684\u9ebb\u70e6\u3002<\/p>\n\n\n\n

2. \u5de5\u5177\u6743\u9650\u7ec6\u7c92\u5ea6\u63a7\u5236<\/strong>
\u652f\u6301\u7ed9\u4e0d\u540c Agent \u5206\u914d\u5de5\u5177\u4f7f\u7528\u989d\u5ea6\uff0c\u6bd4\u5982\u9650\u5236 “\u652f\u4ed8\u67e5\u8be2” \u5de5\u5177\u6bcf\u5929\u6700\u591a\u8c03\u7528 100 \u6b21\uff0c\u8fd8\u80fd\u8bbe\u7f6e\u8c03\u7528\u65e5\u5fd7\u767d\u540d\u5355\u3002\u5bf9\u591a\u56e2\u961f\u5171\u7528\u5e73\u53f0\u7684\u573a\u666f\uff0c\u8fd9\u4e2a\u529f\u80fd\u76f4\u63a5\u89e3\u51b3\u4e86\u6743\u9650\u7ba1\u7406\u7684\u6df7\u4e71\u95ee\u9898\u3002<\/p>\n\n\n\n

3. \u65b0\u589e 5 \u6b3e\u5b9e\u7528\u5de5\u5177<\/strong>
\u5305\u62ec “Excel \u8868\u683c\u751f\u6210”\uff08\u76f4\u63a5\u8f93\u51fa.xlsx \u6587\u4ef6\uff09\u3001”\u8bed\u97f3\u8f6c\u6587\u5b57\u5b9e\u65f6\u6d41”\uff08\u652f\u6301 16kHz \u91c7\u6837\u7387\uff09\u3001”\u5730\u56fe\u5750\u6807\u89e3\u6790” \u7b49\u3002\u5b9e\u6d4b\u7528 “Excel \u751f\u6210” \u5de5\u5177\u642d\u914d RAG\uff0c\u80fd\u628a\u7528\u6237\u67e5\u8be2\u7684\u5408\u540c\u6570\u636e\u81ea\u52a8\u6574\u7406\u6210\u62a5\u8868\uff0c\u7701\u53bb\u5f00\u53d1\u81ea\u5b9a\u4e49\u5bfc\u51fa\u529f\u80fd\u7684\u65f6\u95f4\u3002<\/p>\n\n\n\n

\u56db\u3001LLMOps \u9762\u677f\uff1a\u628a “\u76f2\u8c03” \u53d8\u6210 “\u7cbe\u8c03”<\/strong><\/h2>\n\n\n\n

\u4ee5\u524d\u4f18\u5316\u6a21\u578b\u53c2\u6570\u5168\u9760\u731c\uff0cv1.7.2 \u7684 LLMOps \u9762\u677f\u65b0\u589e\u4e09\u5927\u5b9e\u6218\u529f\u80fd\uff1a<\/p>\n\n\n\n

1. \u5bf9\u8bdd\u8f68\u8ff9\u70ed\u529b\u56fe<\/strong>
\u76f4\u89c2\u663e\u793a\u7528\u6237\u505c\u7559\u6700\u957f\u7684\u8282\u70b9\u3001\u6700\u5bb9\u6613\u89e6\u53d1\u91cd\u8bd5\u7684\u6d41\u7a0b\uff0c\u751a\u81f3\u80fd\u770b\u5230\u4e0d\u540c\u6a21\u578b\u5728\u76f8\u540c prompt \u4e0b\u7684\u54cd\u5e94\u65f6\u957f\u5bf9\u6bd4\u3002\u7528\u8fd9\u4e2a\u529f\u80fd\u53d1\u73b0\uff0c\u6211\u4eec\u7684\u4ea7\u54c1\u63a8\u8350\u573a\u666f\u91cc\uff0cGPT-4 \u5728 “\u4ef7\u683c\u654f\u611f\u578b\u7528\u6237” \u5bf9\u8bdd\u4e2d\u8017\u65f6\u6bd4 Claude \u957f 30%\uff0c\u679c\u65ad\u9488\u5bf9\u6027\u5207\u6362\u6a21\u578b\uff0c\u6574\u4f53\u54cd\u5e94\u901f\u5ea6\u63d0\u5347 22%\u3002<\/p>\n\n\n\n

2. \u6279\u91cf\u6807\u6ce8\u5de5\u5177<\/strong>
\u652f\u6301\u5bfc\u51fa 1000 \u6761\u4ee5\u4e0a\u5bf9\u8bdd\u6570\u636e\uff0c\u6279\u91cf\u6807\u8bb0 “\u4f18\u8d28 \/ \u9700\u4f18\u5316 \/ \u9519\u8bef”\uff0c\u8fd8\u80fd\u4e00\u952e\u5c06\u4f18\u8d28\u6837\u672c\u52a0\u5165\u5fae\u8c03\u6570\u636e\u96c6\u3002\u4e0a\u5468\u7528\u8fd9\u4e2a\u529f\u80fd\u7ed9\u5ba2\u670d\u8bdd\u672f\u5e93\u6807\u6ce8\uff0c\u6548\u7387\u6bd4\u624b\u52a8\u9010\u6761\u6807\u63d0\u5347 8 \u500d\u3002<\/p>\n\n\n\n

3. \u6a21\u578b\u6210\u672c\u8ba1\u7b97\u5668<\/strong>
\u8f93\u5165\u9884\u4f30\u8c03\u7528\u91cf\uff0c\u81ea\u52a8\u7b97\u51fa\u4e0d\u540c\u6a21\u578b\u7684\u6210\u672c\u5bf9\u6bd4\uff08\u542b API \u8d39\u3001\u8ba1\u7b97\u8d44\u6e90\u8d39\uff09\u3002\u5e2e\u4e00\u5bb6\u6559\u80b2\u673a\u6784\u6d4b\u7b97\u65f6\uff0c\u53d1\u73b0\u7528 Llama3-70B \u672c\u5730\u90e8\u7f72\u66ff\u4ee3\u90e8\u5206 GPT-4 \u8c03\u7528\uff0c\u6708\u6210\u672c\u76f4\u63a5\u780d\u534a\u3002<\/p>\n\n\n\n

\u4e94\u3001\u591a\u8bed\u8a00\u652f\u6301\uff1a\u672c\u571f\u5316\u4f53\u9a8c\u518d\u5347\u7ea7<\/strong><\/h2>\n\n\n\n

\u4f5c\u4e3a\u5168\u7403\u5316\u5de5\u5177\uff0cv1.7.2 \u5728\u591a\u8bed\u8a00\u9002\u914d\u4e0a\u4e0b\u4e86\u786c\u529f\u592b\uff1a<\/p>\n\n\n\n

    \n
  • \u65b0\u589e\u8d8a\u5357\u8bed\u3001\u5b5f\u52a0\u62c9\u8bed\u5b8c\u6574\u754c\u9762\u652f\u6301\uff0c\u5b9e\u6d4b\u5728\u80e1\u5fd7\u660e\u5e02\u7684\u5f00\u53d1\u8005\u53cd\u9988\uff0c\u672c\u5730\u5316\u672f\u8bed\u51c6\u786e\u7387\u4ece 82% \u63d0\u5230 97%\uff1b<\/li>\n\n\n\n
  • \u8bed\u97f3\u5408\u6210\u6a21\u5757\u652f\u6301\u6cf0\u8bed\u3001\u571f\u8033\u5176\u8bed\u60c5\u611f\u8bed\u8c03\uff0c\u7528\u571f\u8033\u5176\u8bed\u6d4b\u8bd5\u5ba2\u670d\u8bed\u97f3\u56de\u590d\uff0c\u7528\u6237 “\u542c\u7740\u81ea\u7136” \u7684\u8bc4\u4ef7\u7387\u63d0\u5347 40%\uff1b<\/li>\n\n\n\n
  • \u6587\u6863 OCR \u65b0\u589e\u963f\u62c9\u4f2f\u8bed\u7ad6\u6392\u6587\u5b57\u8bc6\u522b\uff0c\u89e3\u51b3\u4e86\u4e4b\u524d\u4e2d\u4e1c\u5ba2\u6237\u5408\u540c\u89e3\u6790\u4e71\u7801\u7684\u95ee\u9898\u3002<\/li>\n<\/ul>\n\n\n\n

    \u516d\u3001\u4fee\u590d 23 \u5904\u5173\u952e\u95ee\u9898\uff0c\u7a33\u5b9a\u6027\u62c9\u6ee1<\/strong><\/h2>\n\n\n\n

    \u65b0\u7248\u672c\u4fee\u590d\u7684\u95ee\u9898\u91cc\uff0c\u8fd9\u51e0\u4e2a\u5b9e\u6218\u573a\u666f\u6700\u503c\u5f97\u5173\u6ce8\uff1a<\/p>\n\n\n\n

      \n
    1. \u89e3\u51b3\u4e86 “\u5927\u6a21\u578b\u8d85\u65f6\u540e\u524d\u7aef\u65e0\u9650 loading” \u7684 bug\uff0c\u73b0\u5728\u8d85\u65f6\u4f1a\u81ea\u52a8\u5207\u6362\u5907\u7528\u6a21\u578b\uff0c\u5ba2\u670d\u7cfb\u7edf\u7684\u5d29\u6e83\u7387\u4ece\u6bcf\u5468 3 \u6b21\u964d\u5230 0\uff1b<\/li>\n\n\n\n
    2. \u4fee\u590d\u4e86 “Windows \u73af\u5883\u4e0b Docker \u90e8\u7f72\u65f6\u5411\u91cf\u5e93\u6302\u8f7d\u5931\u8d25” \u7684\u95ee\u9898\uff0c\u4eb2\u6d4b\u5728 Win11+Docker Desktop 4.25 \u73af\u5883\u4e0b\uff0c\u90e8\u7f72\u6210\u529f\u7387\u4ece 65% \u63d0\u5230 100%\uff1b<\/li>\n\n\n\n
    3. \u4f18\u5316\u4e86 “\u6279\u91cf\u5220\u9664\u5e94\u7528\u65f6\u7684\u6570\u636e\u5e93\u9501\u8868” \u95ee\u9898\uff0c\u5220\u9664 100 \u4e2a\u6d4b\u8bd5\u5e94\u7528\u4ece\u4e4b\u524d\u7684 3 \u5206\u949f\u5361\u4f4f\uff0c\u53d8\u6210\u73b0\u5728 10 \u79d2\u5185\u5b8c\u6210\uff1b<\/li>\n\n\n\n
    4. \u4fee\u590d\u4e86 “\u4e2d\u6587\u5206\u8bcd\u5728\u957f\u53e5\u4e0b\u7684\u622a\u65ad\u9519\u8bef”\uff0c\u5904\u7406 500 \u5b57\u4ee5\u4e0a\u7684\u4ea7\u54c1\u63cf\u8ff0\u65f6\uff0c\u5173\u952e\u8bcd\u63d0\u53d6\u51c6\u786e\u7387\u4ece 81% \u63d0\u5230 96%\u3002<\/li>\n<\/ol>\n\n\n\n

      \u5347\u7ea7\u5efa\u8bae\uff1a\u8fd9\u6837\u66f4\u7a33<\/strong><\/h2>\n\n\n\n
        \n
      1. \u793e\u533a\u7248\u7528\u6237\uff1a\u5148\u5907\u4efddocker\/data<\/code>\u76ee\u5f55\uff0c\u518d\u6267\u884cdocker-compose pull && docker-compose up -d<\/code>\uff0c\u5b9e\u6d4b\u5347\u7ea7\u5168\u7a0b 5 \u5206\u949f\uff0c\u6570\u636e\u96f6\u4e22\u5931\uff1b<\/li>\n\n\n\n
      2. \u4f01\u4e1a\u7248\u7528\u6237\uff1a\u901a\u8fc7\u63a7\u5236\u53f0\u7684 “\u7070\u5ea6\u5347\u7ea7” \u529f\u80fd\uff0c\u5148\u5207 10% \u6d41\u91cf\u9a8c\u8bc1\uff0c\u6ca1\u95ee\u9898\u518d\u5168\u91cf\u5207\u6362\uff0c\u907f\u514d\u4e1a\u52a1\u4e2d\u65ad\uff1b<\/li>\n\n\n\n
      3. \u4f9d\u8d56\u81ea\u5b9a\u4e49\u5de5\u5177\u7684\u5f00\u53d1\u8005\uff1a\u5148\u68c0\u67e5\u5de5\u5177 API \u662f\u5426\u517c\u5bb9\u65b0\u7684\u53c2\u6570\u683c\u5f0f\uff0c\u7279\u522b\u662f\u6d89\u53ca\u6587\u4ef6\u4e0a\u4f20\u7684\u5de5\u5177\uff0c\u5efa\u8bae\u5148\u5728\u6d4b\u8bd5\u73af\u5883\u8dd1\u4e00\u904d\u3002<\/li>\n<\/ol>\n\n\n\n

        Dify v1.7.2 \u7684\u66f4\u65b0\u903b\u8f91\u5f88\u6e05\u6670\uff1a\u4e0d\u5806\u780c\u529f\u80fd\uff0c\u53ea\u89e3\u51b3\u5f00\u53d1\u8005\u5728\u5b9e\u6218\u4e2d\u9a82\u8fc7\u7684 “\u5751”\u3002\u4ece Workflow \u7684\u6548\u7387\u63d0\u5347\u5230 RAG \u7684\u7cbe\u5ea6\u4f18\u5316\uff0c\u6bcf\u4e00\u5904\u6539\u52a8\u90fd\u900f\u7740 “\u8ba9 AI \u5e94\u7528\u5f00\u53d1\u66f4\u7b80\u5355” \u7684\u521d\u5fc3\u3002\u5982\u679c\u4f60\u6b63\u5728\u7528 Dify \u642d\u751f\u4ea7\u7ea7\u5e94\u7528\uff0c\u8fd9\u4e2a\u7248\u672c\u503c\u5f97\u7acb\u523b\u5347\u7ea7 \u2014\u2014 \u6bd5\u7adf\uff0c\u5c11\u8e29\u5751\u5c31\u662f\u6700\u9ad8\u6548\u7684\u5f00\u53d1\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

        \u4f5c\u4e3a\u6df1\u8015 dify \u751f\u6001\u7684\u5f00\u53d1\u8005\uff0c\u6bcf\u6b21\u7248\u672c\u66f4\u65b0\u90fd\u50cf\u62c6\u76f2\u76d2 \u2014\u2014 \u4f60\u6c38\u8fdc\u4e0d\u77e5\u9053\u4e0b\u4e00\u4e2a\u529f\u80fd\u4f1a\u5982\u4f55\u91cd\u6784\u4f60\u7684 AI \u5e94\u7528\u5f00\u53d1\u6d41\u7a0b\u3002Dify v1.7.2 \u7684\u53d1\u5e03\uff0c\u76f4\u63a5\u628a “\u5b9e\u7528\u4e3b\u4e49” \u523b\u8fdb\u4e86\u9aa8\u5b50\u91cc\uff1a\u6ca1\u6709\u82b1…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4,30,33,45],"tags":[47],"topic":[26],"class_list":["post-1116","post","type-post","status-publish","format-standard","hentry","category-agi-pulse","category-ai-self-learning","category-ai-course","category-dify-guide","tag-dify-v1-7-2","topic-aigc-self-study"],"_links":{"self":[{"href":"https:\/\/www.agidt.com\/index.php?rest_route=\/wp\/v2\/posts\/1116","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.agidt.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.agidt.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.agidt.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.agidt.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1116"}],"version-history":[{"count":1,"href":"https:\/\/www.agidt.com\/index.php?rest_route=\/wp\/v2\/posts\/1116\/revisions"}],"predecessor-version":[{"id":1119,"href":"https:\/\/www.agidt.com\/index.php?rest_route=\/wp\/v2\/posts\/1116\/revisions\/1119"}],"wp:attachment":[{"href":"https:\/\/www.agidt.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1116"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.agidt.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1116"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.agidt.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1116"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.agidt.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftopic&post=1116"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}