{"id":16887,"date":"2024-06-26T08:50:55","date_gmt":"2024-06-26T00:50:55","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=16887"},"modified":"2025-01-01T08:54:35","modified_gmt":"2025-01-01T00:54:35","slug":"ruhexuanzeheshiai","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/ruhexuanzeheshiai\/","title":{"rendered":"\u5982\u4f55\u9009\u62e9\u5408\u9002\u7684 Embedding \u6a21\u578b\uff1f"},"content":{"rendered":"<p>\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u662f\u751f\u6210\u5f0f AI \uff08GenAI\uff09\u4e2d\u7684\u4e00\u7c7b\u5e94\u7528\uff0c\u652f\u6301\u4f7f\u7528\u81ea\u5df1\u7684\u6570\u636e\u6765\u589e\u5f3a LLM \u6a21\u578b\uff08\u5982 ChatGPT\uff09\u7684\u77e5\u8bc6\u3002<\/p>\n<p><a href=\"https:\/\/www.kdjingpai.com\/rag\/\">RAG<\/a> \u901a\u5e38\u4f1a\u7528\u5230\u4e09\u79cd\u4e0d\u540c\u7684AI\u6a21\u578b\uff0c\u5373 Embedding \u6a21\u578b\u3001Rerankear\u6a21\u578b\u4ee5\u53ca\u5927\u8bed\u8a00\u6a21\u578b\u3002\u672c\u6587\u5c06\u4ecb\u7ecd\u5982\u4f55\u6839\u636e\u60a8\u7684\u6570\u636e\u7c7b\u578b\u4ee5\u53ca\u8bed\u8a00\u6216\u7279\u5b9a\u9886\u57df\uff08\u5982\u6cd5\u5f8b\uff09\u9009\u62e9\u5408\u9002\u7684 Embedding \u6a21\u578b\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>1.\u6587\u672c\u6570\u636e\uff1aMTEB \u6392\u884c\u699c<\/h2>\n<p>HuggingFace \u7684 <strong>MTEB leaderboard<\/strong> \u662f\u4e00\u4e2a\u4e00\u7ad9\u5f0f\u7684\u6587\u672c Embedding \u6a21\u578b\u699c\uff01\u60a8\u53ef\u4ee5\u4e86\u89e3\u6bcf\u4e2a\u6a21\u578b\u7684\u5e73\u5747\u6027\u80fd\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u60a8\u53ef\u4ee5\u5c06\u201cRetrieval Average\u201d\u5217\u8fdb\u884c\u964d\u5e8f\u6392\u5e8f\uff0c\u56e0\u4e3a\u8fd9\u6700\u7b26\u5408\u5411\u91cf\u641c\u7d22\u7684\u4efb\u52a1\u3002\u7136\u540e\uff0c\u5bfb\u627e\u6392\u540d\u6700\u9ad8\u3001\u5360\u5185\u5b58\u6700\u5c0f\u7684\u6a21\u578b\u3002<\/p>\n<ul>\n<li>Embedding \u5411\u91cf\u7ef4\u5ea6\u662f\u5411\u91cf\u7684\u957f\u5ea6\uff0c\u5373 f(x)=y \u4e2d\u7684 y\uff0c\u6a21\u578b\u5c06\u8f93\u51fa\u6b64\u7ed3\u679c\u3002<\/li>\n<li>\u6700\u5927 <a href=\"https:\/\/www.kdjingpai.com\/tokenization\/\">Token<\/a> \u6570\u662f\u8f93\u5165\u6587\u672c\u5757\u7684\u957f\u5ea6\uff0c\u5373 f(x)=y \u4e2d\u7684 x \uff0c\u60a8\u53ef\u4ee5\u8f93\u5165\u5230\u6a21\u578b\u4e2d\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>\u9664\u4e86\u901a\u8fc7 <a href=\"https:\/\/www.kdjingpai.com\/retrieval\/\">Retrieval<\/a> \u4efb\u52a1\u6392\u5e8f\u5916\uff0c\u60a8\u8fd8\u53ef\u4ee5\u6839\u636e\u4ee5\u4e0b\u6761\u4ef6\u8fdb\u884c\u8fc7\u6ee4\uff1a<\/p>\n<ul>\n<li>\u8bed\u8a00\uff1a\u652f\u6301\u6cd5\u8bed\u3001\u82f1\u8bed\u3001\u4e2d\u6587\u3001\u6ce2\u5170\u8bed\u3002\uff08\u4f8b\u5982\uff1atask=<strong>retrieval,<\/strong>\n<p><strong>Language=chinese<\/strong>\uff09<\/li>\n<li>\u6cd5\u5f8b\u9886\u57df\u6587\u672c\u3002\n<p>\uff08\u4f8b\u5982\uff1atask=<strong>retrieval\uff0cLanguage=law<\/strong>\uff09<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u7531\u4e8e\u90e8\u5206\u8bad\u7ec3\u6570\u636e\u6700\u8fd1\u624d\u5f97\u4ee5\u516c\u5f00\uff0c\u4e00\u4e9b MTEB \u4e0a\u7684 Embedding \u6a21\u578b\u53ef\u80fd\u662f<strong>\u770b\u4f3c\u5408\u9002<\/strong>\u4f46\u5b9e\u9645\u4e0d\u5408\u9002\u7684\u6a21\u578b\uff0c\u6392\u540d\u865a\u9ad8\uff0c\u5b9e\u9645\u8868\u73b0\u53ef\u80fd\u4f1a\u6709\u6240\u4e0d\u540c\u3002\u56e0\u6b64\uff0cHuggingFace \u53d1\u5e03\u4e86\u4e00\u7bc7<strong>\u535a\u5ba2<\/strong>\uff0c\u4ecb\u7ecd\u4e86\u5224\u65ad\u6a21\u578b\u6392\u540d\u662f\u5426\u53ef\u4fe1\u7684\u8981\u70b9\u3002\u70b9\u51fb\u6a21\u578b\u94fe\u63a5\uff08\u79f0\u4e3a\u201c\u6a21\u578b\u5361\u7247\u201d\uff09\u540e\uff1a<\/p>\n<ul>\n<li>\u5bfb\u627e\u89e3\u91ca\u6a21\u578b\u5982\u4f55\u8bad\u7ec3\u548c\u8bc4\u4f30\u7684\u535a\u5ba2\u548c\u8bba\u6587\u3002\u4ed4\u7ec6\u67e5\u770b\u6a21\u578b\u8bad\u7ec3\u4f7f\u7528\u7684\u8bed\u8a00\u3001\u6570\u636e\u548c\u4efb\u52a1\u3002\u540c\u65f6\uff0c\u5bfb\u627e\u7531\u77e5\u540d\u516c\u53f8\u521b\u5efa\u7684\u6a21\u578b\u3002\u4f8b\u5982\uff0c\u5728 voyage-lite-02-instruct \u6a21\u578b\u5361\u7247\u4e0a\uff0c\u60a8\u4f1a\u770b\u5230\u5176\u4ed6\u7684 VoyageAI \u6a21\u578b\u5217\u51fa\uff0c\u4f46\u4e0d\u5305\u62ec\u8fd9\u4e2a\u3002\u8fd9\u662f\u4e00\u4e2a\u63d0\u793a\uff01\u8be5\u6a21\u578b\u662f\u4e00 \u4e2aoverfitting \u6a21\u578b\uff0c\u4e0d\u5e94\u4f7f\u7528\uff01<\/li>\n<li>\u5728\u4e0b\u9762\u7684\u622a\u56fe\u4e2d\uff0c\u6211\u4f1a\u5c1d\u8bd5\u6765\u81ea Snowflake \u7684\u65b0\u6a21\u578b\u201csnowflake-arctic-embed-1\u201d\uff0c\u56e0\u4e3a\u5b83\u6392\u540d\u8f83\u9ad8\uff0c\u4f53\u79ef\u5c0f\u5230\u8db3\u4ee5\u5728\u6211\u7684\u7b14\u8bb0\u672c\u7535\u8111\u4e0a\u8fd0\u884c\uff0c\u5e76\u4e14\u6a21\u578b\u5361\u7247\u4e0a\u6709\u535a\u5ba2\u548c\u8bba\u6587\u7684\u94fe\u63a5\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/3c5c36bdd9812cf.png\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>\u4f7f\u7528 HuggingFace \u7684\u597d\u5904\u5c31\u662f\uff0c\u5728\u9009\u62e9\u5b8c Embedding \u6a21\u578b\u540e\uff0c\u5982\u679c\u60a8\u9700\u8981\u66f4\u6362\u6a21\u578b\uff0c\u53ea\u9700\u8981\u5728\u4ee3\u7801\u4e2d\u4fee\u6539 model_name \u5373\u53ef\uff01<\/p>\n<pre>import torch\r\nfrom sentence_transformers import SentenceTransformer\r\n\r\n# Initialize torch settings\r\ntorch.backends.cudnn.deterministic = True\r\nDEVICE = torch.device('cuda:3' if torch.cuda.is_available() else 'cpu')\r\n\r\n# Load the model from Huggingface\r\nmodel_name = \"WhereIsAI\/UAE-Large-V1\" # Just change model_name to use a different model!\r\nencoder = SentenceTransformer(model_name, device=DEVICE)\r\n\r\n# Get the model parameters and save for later\r\nEMBEDDING_DIM = encoder.get_sentence_embedding_dimension()\r\nMAX_SEQ_LENGTH_IN_TOKENS = encoder.get_max_seq_length()\r\n\r\n# Print model parameters\r\nprint(f\"model_name: {model_name}\")\r\nprint(f\"EMBEDDING_DIM: {EMBEDDING_DIM}\")\r\nprint(f\"MAX_SEQ_LENGTH: {MAX_SEQ_LENGTH_IN_TOKENS}\")<\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/3c0b4d62dbacc97.png\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>2.\u56fe\u50cf\u6570\u636e\uff1aResNet50<\/h2>\n<p>\u6709\u65f6\u5019\u60a8\u53ef\u80fd\u60f3\u8981\u641c\u7d22\u4e0e\u8f93\u5165\u56fe\u50cf\u76f8\u4f3c\u7684\u56fe\u7247\u3002\u6bd4\u5982\uff0c\u60a8\u53ef\u80fd\u5728\u5bfb\u627e\u66f4\u591a\u82cf\u683c\u5170\u6298\u8033\u732b\u7684\u56fe\u7247\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u53ef\u4ee5\u4e0a\u4f20\u4e00\u5f20\u82cf\u683c\u5170\u6298\u8033\u732b\u7684\u56fe\u7247\uff0c\u5e76\u8981\u6c42\u641c\u7d22\u5f15\u64ce\u627e\u5230\u7c7b\u4f3c\u7684\u56fe\u7247\u3002<\/p>\n<p><strong>ResNet50<\/strong> \u662f\u4e00\u79cd\u6d41\u884c\u7684 CNN \u6a21\u578b\uff0c\u6700\u521d\u7531\u5fae\u8f6f\u5728 2015 \u5e74\u4f7f\u7528 ImageNet \u6570\u636e\u8bad\u7ec3\u3002<\/p>\n<p>\u540c\u6837\uff0c\u5bf9\u4e8e<strong>\u89c6\u9891\u641c\u7d22<\/strong>\uff0cResNet50 \u4ecd\u7136\u53ef\u4ee5\u5c06\u89c6\u9891\u8f6c\u6362\u4e3a Embedding \u5411\u91cf\u3002\u7136\u540e\uff0c\u5bf9\u9759\u6001\u89c6\u9891\u5e27\u8fdb\u884c\u76f8\u4f3c\u6027\u641c\u7d22\uff0c\u8fd4\u56de\u7ed9\u7528\u6237\u6700\u76f8\u4f3c\u7684\u89c6\u9891\u4f5c\u4e3a\u6700\u5339\u914d\u7ed3\u679c\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>3.\u97f3\u9891\u6570\u636e\uff1aPANNs<\/h2>\n<p>\u7c7b\u4f3c\u4e8e\u4ee5\u56fe\u641c\u56fe\uff0c\u60a8\u4e5f\u53ef\u4ee5\u57fa\u4e8e\u8f93\u5165\u7684\u97f3\u9891\u7247\u6bb5\u641c\u7d22\u76f8\u4f3c\u97f3\u9891\u3002<\/p>\n<p><strong>PANNs<\/strong>\uff08\u9884\u8bad\u7ec3\u97f3\u9891\u795e\u7ecf\u7f51\u7edc\uff09\u662f\u5e38\u7528\u7684\u97f3\u9891\u641c\u7d22 Embedding \u6a21\u578b\uff0c\u56e0\u4e3a PANNs \u57fa\u4e8e\u5927\u89c4\u6a21\u97f3\u9891\u6570\u636e\u96c6\u9884\u8bad\u7ec3\uff0c\u5e76\u4e14\u64c5\u957f\u97f3\u9891\u5206\u7c7b\u548c\u6807\u8bb0\u7b49\u4efb\u52a1\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>4.\u591a\u6a21\u6001\u56fe\u50cf\u4e0e\u6587\u672c\u6570\u636e\uff1a<\/h2>\n<p><strong>SigLIP \u6216 Unum<\/strong><\/p>\n<p>\u8fd1\u51e0\u5e74\uff0c\u6d8c\u73b0\u4e86\u4e00\u6279\u9488\u5bf9\u591a\u79cd\u975e\u7ed3\u6784\u5316\u6570\u636e\uff08\u6587\u672c\u3001\u56fe\u50cf\u3001\u97f3\u9891\u6216\u89c6\u9891\uff09\u6df7\u5408\u8bad\u7ec3\u7684 Embedding \u6a21\u578b\u3002\u8fd9\u4e9b\u6a21\u578b\u80fd\u591f\u5728\u540c\u4e00\u5411\u91cf\u7a7a\u95f4\u5185\u540c\u65f6\u6355\u83b7\u591a\u79cd\u7c7b\u578b\u7684\u975e\u7ed3\u6784\u5316\u6570\u636e\u7684\u8bed\u4e49\u3002<\/p>\n<p>\u591a\u6a21\u6001 Embedding \u6a21\u578b\u652f\u6301\u4f7f\u7528\u6587\u672c\u641c\u7d22\u56fe\u50cf\u3001\u4e3a\u56fe\u50cf\u751f\u6210\u6587\u672c\u63cf\u8ff0\u6216\u4ee5\u56fe\u641c\u56fe\u3002<\/p>\n<p>OpenAI \u5728 2021 \u5e74\u63a8\u51fa\u7684 <strong>CLIP<\/strong> \u662f\u6807\u51c6\u7684 Embedding \u6a21\u578b\u3002\u4f46\u7531\u4e8e\u5176\u9700\u8981\u7528\u6237\u81ea\u884c\u8fdb\u884c\u5fae\u8c03\uff0c\u96be\u4ee5\u4f7f\u7528\uff0c\u6240\u4ee5\u5230\u4e86 2024 \u5e74\uff0c\u8c37\u6b4c\u63a8\u51fa\u4e86\u7684 <strong>SigLIP<\/strong>\uff08Sigmoidal-CLIP\uff09\u3002\u8be5\u6a21\u578b\u5728\u4f7f\u7528 zero-shot prompt\u65f6\u53d6\u5f97\u4e86\u4e0d\u9519\u7684\u8868\u73b0\u3002<\/p>\n<p>\u5c0f\u578b LLM \u6a21\u578b\u5982\u4eca\u53d8\u5f97\u8d8a\u6765\u8d8a\u6d41\u884c\u3002\u56e0\u4e3a\u8fd9\u4e9b\u6a21\u578b\u4e0d\u9700\u8981\u5927\u578b\u4e91\u8ba1\u7b97\u96c6\u7fa4\uff0c\u53ef\u4ee5\u5728\u7b14\u8bb0\u672c\u7535\u8111\u4e0a\u8fd0\u884c\u3002\u5c0f\u6a21\u578b\u5360\u7528\u7684\u5185\u5b58\u8f83\u5c11\uff0c\u5ef6\u65f6\u66f4\u4f4e\uff0c\u8fd0\u884c\u901f\u5ea6\u6bd4\u5927\u578b\u6a21\u578b\u66f4\u5feb\u3002<strong>Unum<\/strong> \u63d0\u4f9b\u4e86\u591a\u6a21\u6001\u5c0f\u578b Embedding \u6a21\u578b\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>5.\u591a\u6a21\u6001\u6587\u672c\u3001\u97f3\u9891\u3001\u89c6\u9891\u6570\u636e<\/h2>\n<p>\u591a\u6a21\u6001\u6587\u672c-\u97f3\u9891 RAG \u7cfb\u7edf\u5927\u591a\u4f7f\u7528\u591a\u6a21\u6001\u751f\u6210\u578b LLM\u3002\u8fd9\u7c7b\u5e94\u7528\u9996\u5148\u5c06\u58f0\u97f3\u8f6c\u6362\u4e3a\u6587\u672c\uff0c\u751f\u6210\u58f0\u97f3-\u6587\u672c\u5bf9\uff0c\u7136\u540e\u5c06\u6587\u672c\u8f6c\u6362\u4e3a Embedding \u5411\u91cf\u3002\u4e4b\u540e\u60a8\u53ef\u4ee5\u50cf\u5f80\u5e38\u4e00\u6837\u4f7f\u7528 RAG \u6765\u68c0\u7d22\u6587\u672c\u3002\u5728\u6700\u540e\u4e00\u6b65\uff0c\u6587\u672c\u88ab\u6620\u5c04\u56de\u97f3\u9891\u3002<\/p>\n<p>OpenAI \u7684 <strong>Whisper <\/strong>\u53ef\u4ee5\u5c06\u8bed\u97f3\u8f6c\u5f55\u4e3a\u6587\u672c\u3002\u6b64\u5916\uff0cOpenAI \u7684 <strong>Text-to-speech (TTS)<\/strong> \u6a21\u578b\u4e5f\u53ef\u4ee5\u5c06\u6587\u672c\u8f6c\u6362\u6210\u97f3\u9891\u3002<\/p>\n<p>\u591a\u6a21\u6001\u6587\u672c-\u89c6\u9891\u7684 RAG \u7cfb\u7edf\u4f7f\u7528\u7c7b\u4f3c\u7684\u65b9\u6cd5\u9996\u5148\u5c06\u89c6\u9891\u6620\u5c04\u5230\u6587\u672c\uff0c\u8f6c\u6362\u4e3a Embedding \u5411\u91cf\uff0c\u641c\u7d22\u6587\u672c\uff0c\u5e76\u8fd4\u56de\u89c6\u9891\u4f5c\u4e3a\u641c\u7d22\u7ed3\u679c\u3002<\/p>\n<p>OpenAI \u7684<strong> Sora <\/strong>\u53ef\u4ee5\u5c06\u6587\u672c\u8f6c\u6362\u6210\u89c6\u9891\u3002\u4e0e Dall-e \u7c7b\u4f3c\uff0c\u60a8\u63d0\u4f9b\u6587\u672c\u63d0\u793a\uff0c\u800c LLM \u751f\u6210\u89c6\u9891\u3002Sora \u8fd8\u53ef\u4ee5\u901a\u8fc7\u9759\u6001\u56fe\u50cf\u6216\u5176\u4ed6\u89c6\u9891\u751f\u6210\u89c6\u9891\u3002<\/p>\n<p><strong>Milvus\u76ee\u524d\u5df2\u7ecf\u96c6\u6210\u4e86\u4e3b\u6d41\u7684Embedding\u6a21\u578b\uff0c\u6b22\u8fce\u5927\u5bb6\u4f53\u9a8c\uff1a<\/strong>https:\/\/milvus.io\/docs\/embeddings.md<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u53c2\u8003<\/strong><\/p>\n<p>MTEB leaderboard: https:\/\/huggingface.co\/spaces\/mteb\/leaderboard<\/p>\n<p>MTEB \u6700\u4f73\u5b9e\u8df5\uff1ahttps:\/\/huggingface.co\/blog\/lyon-nlp-group\/mteb-leaderboard-best-practices<\/p>\n<p>\u76f8\u4f3c\u56fe\u7247\u641c\u7d22\uff1ahttps:\/\/milvus.io\/docs\/image_similarity_search.md<\/p>\n<p>\u56fe\u7247\u89c6\u9891\u641c\u7d22\uff1ahttps:\/\/milvus.io\/docs\/video_similarity_search.md<\/p>\n<p>\u76f8\u4f3c\u97f3\u9891\u641c\u7d22\uff1ahttps:\/\/milvus.io\/docs\/audio_similarity_search.md<\/p>\n<p>\u6587\u672c\u56fe\u50cf\u641c\u7d22\uff1ahttps:\/\/milvus.io\/docs\/text_image_search.md<\/p>\n<p>2024 SigLIP (sigmoid loss CLIP) \u8bba\u6587\uff1ahttps:\/\/arxiv.org\/pdf\/2401.06167v1<\/p>\n<p>Unum \u591a\u6a21\u6001 Embedding \u6a21\u578b\uff1a<\/p>\n<p>https:\/\/github.com\/unum-cloud\/uform<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u662f\u751f\u6210\u5f0f AI \uff08GenAI\uff09\u4e2d\u7684\u4e00\u7c7b\u5e94\u7528\uff0c\u652f\u6301\u4f7f\u7528\u81ea\u5df1\u7684\u6570\u636e\u6765\u589e\u5f3a LLM \u6a21\u578b\uff08\u5982 ChatGPT\uff09\u7684\u77e5\u8bc6\u3002 RAG \u901a\u5e38\u4f1a\u7528\u5230\u4e09\u79cd\u4e0d\u540c\u7684AI\u6a21\u578b\uff0c\u5373 Embedding \u6a21\u578b\u3001Rerankear\u6a21\u578b\u4ee5\u53ca\u5927\u8bed\u8a00\u6a21\u578b&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[34],"tags":[],"class_list":["post-16887","post","type-post","status-publish","format-standard","hentry","category-knowledge"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/16887","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/comments?post=16887"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/16887\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=16887"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=16887"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=16887"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}