[{"data":1,"prerenderedAt":1300},["ShallowReactive",2],{"docs-page-cn-\u002Fcn\u002Fself_developed_model\u002Freranker_usage_example":3,"surround-cn-\u002Fcn\u002Fself_developed_model\u002Freranker_usage_example":1292},{"id":4,"title":5,"avatar":6,"banner":6,"body":7,"category":6,"desc":1284,"description":1285,"extension":1286,"links":6,"meta":1287,"navigation":6,"path":1288,"seo":1289,"stem":1290,"__hash__":1291},"docs\u002Fcn\u002Fself_developed_model\u002Freranker_usage_example.md","使用示例",null,{"type":8,"value":9,"toc":1276},"minimark",[10,19,43,45,49,52,74,77,100,102,105,108,115,118,152,154,157,1032,1034,1037,1075,1077,1080,1174,1176,1180,1272],[11,12,13,14,18],"p",{},"MemOS 提供记忆重排接口，基于 ",[15,16,17],"strong",{},"memos-reranker"," 系列模型（包括 0.6B 轻量版和 4B 增强版，基础模型采用 qwen-reranker 后训练），开发者可直接传入用户查询与候选记忆列表，一键完成记忆相关性重排。",[20,21,25],"callout",{"className":22,"color":24},[23],"rerank-usage-api-hint","warning",[11,26,27,28,33,34,37,38,42],{},"接口字段与 OpenAPI 说明：",[29,30,32],"a",{"href":31},"\u002Fcn\u002Fapi_docs\u002Fcore\u002Frerank","Rerank Memory","。",[35,36],"br",{},"\n鉴权、Base URL 与调用方式与 ",[29,39,41],{"href":40},"\u002Fcn\u002Fmemos_cloud\u002Fgetting_started\u002Fquick_start","MemOS Cloud 快速开始"," 一致。",[35,44],{},[46,47,48],"h2",{"id":48},"何时使用记忆重排模型",[11,50,51],{},"记忆重排接口适用于以下场景：",[53,54,55,62,68],"ul",{},[56,57,58,61],"li",{},[15,59,60],{},"记忆召回优化","：在检索到大量候选记忆后，通过重排精准筛选出与当前查询最相关的记忆，提升上下文注入质量。",[56,63,64,67],{},[15,65,66],{},"低延迟高频调用","：基于 0.6B 小模型，适合对延迟敏感、调用频繁的业务场景。",[56,69,70,73],{},[15,71,72],{},"灵活的排序控制","：支持自定义候选文档列表，可与任意检索系统配合使用，不依赖 MemOS 记忆库。",[11,75,76],{},"不建议在下面场景直接调用重排接口：",[53,78,79,86,93],{},[56,80,81,82,33],{},"还没有候选文档，只是想从记忆库里查找内容。此时应先调用 ",[29,83,85],{"href":84},"\u002Fmemos_cloud\u002Fmem_operations\u002Fsearch_memory","Search Memory",[56,87,88,89,33],{},"希望把内容写入记忆。重排接口不会写入 MemOS 记忆库，应使用 ",[29,90,92],{"href":91},"\u002Fmemos_cloud\u002Fmem_operations\u002Fadd_message","Add Message",[56,94,95,96,33],{},"想对超长文档全文排序。请先检索、切分或截断候选内容，再把较短候选片段传给 ",[97,98,99],"code",{},"documents",[35,101],{},[46,103,104],{"id":104},"工作原理",[11,106,107],{},"记忆重排的 API 以及与模型的交互如下图所示：",[11,109,110],{},[111,112],"img",{"alt":113,"src":114},"记忆重排流程","https:\u002F\u002Fcdn.memtensor.com.cn\u002Fimg\u002F1776755224177_y8jat9_compressed.png",[11,116,117],{},"重排模型的完整调用流程如下：",[119,120,121,136,144],"ol",{},[56,122,123,126,128,129,132,133,135],{},[15,124,125],{},"查询输入",[35,127],{},"\n开发者传入用户查询（",[97,130,131],{},"query","）和候选记忆文档列表（",[97,134,99],{},"）。",[56,137,138,141,143],{},[15,139,140],{},"编码与表征",[35,142],{},"\n经过模型编码输出相关性分数。",[56,145,146,149,151],{},[15,147,148],{},"相关性打分",[35,150],{},"\n相关性分数主要分为 5 个阶段如图所示，开发者可以根据实际场景进行阈值的设定。",[35,153],{},[46,155,156],{"id":156},"快速上手",[158,159,160,623],"code-group",{},[161,162,168],"pre",{"className":163,"code":164,"filename":165,"language":166,"meta":167,"style":167},"language-python shiki shiki-themes material-theme-lighter github-light-high-contrast github-dark-default","import os\nimport requests\nimport json\n\n# 替换成你的 MemOS API Key\nos.environ[\"MEMOS_API_KEY\"] = \"YOUR_API_KEY\"\nos.environ[\"MEMOS_BASE_URL\"] = \"https:\u002F\u002Fmemos.memtensor.cn\u002Fapi\u002Fopenmem\u002Fv1\"\n\ndata = {\n    # 可选模型：memos-reranker-0.6b（轻量版）或 memos-reranker-4b（增强版）\n    \"model\": \"memos-reranker-0.6b\",\n    \"query\": \"有什么酒可以推荐给我呢\",\n    \"documents\": [\n        \"用户比较喜欢酱香型的，比方说茅台\",\n        \"我不喝酒\"\n    ]\n}\n\nheaders = {\n    \"Content-Type\": \"application\u002Fjson\",\n    \"Authorization\": f\"Token {os.environ['MEMOS_API_KEY']}\"\n}\nurl = f\"{os.environ['MEMOS_BASE_URL']}\u002Frerank\"\n\nres = requests.post(url=url, headers=headers, data=json.dumps(data))\nprint(f\"result: {res.json()}\")\n","基础重排","python","",[97,169,170,183,191,199,206,213,256,285,290,302,308,332,352,366,379,389,395,401,406,416,437,482,487,522,527,589],{"__ignoreMap":167},[171,172,175,179],"span",{"class":173,"line":174},"line",1,[171,176,178],{"class":177},"sBMTB","import",[171,180,182],{"class":181},"s5ojA"," os\n",[171,184,186,188],{"class":173,"line":185},2,[171,187,178],{"class":177},[171,189,190],{"class":181}," requests\n",[171,192,194,196],{"class":173,"line":193},3,[171,195,178],{"class":177},[171,197,198],{"class":181}," json\n",[171,200,202],{"class":173,"line":201},4,[171,203,205],{"emptyLinePlaceholder":204},true,"\n",[171,207,209],{"class":173,"line":208},5,[171,210,212],{"class":211},"sfVK4","# 替换成你的 MemOS API Key\n",[171,214,216,219,223,227,230,234,238,240,243,247,250,253],{"class":173,"line":215},6,[171,217,218],{"class":181},"os",[171,220,222],{"class":221},"suWxN",".",[171,224,226],{"class":225},"s5qkx","environ",[171,228,229],{"class":221},"[",[171,231,233],{"class":232},"sjUum","\"",[171,235,237],{"class":236},"sp1uZ","MEMOS_API_KEY",[171,239,233],{"class":232},[171,241,242],{"class":221},"]",[171,244,246],{"class":245},"saN0X"," =",[171,248,249],{"class":232}," \"",[171,251,252],{"class":236},"YOUR_API_KEY",[171,254,255],{"class":232},"\"\n",[171,257,259,261,263,265,267,269,272,274,276,278,280,283],{"class":173,"line":258},7,[171,260,218],{"class":181},[171,262,222],{"class":221},[171,264,226],{"class":225},[171,266,229],{"class":221},[171,268,233],{"class":232},[171,270,271],{"class":236},"MEMOS_BASE_URL",[171,273,233],{"class":232},[171,275,242],{"class":221},[171,277,246],{"class":245},[171,279,249],{"class":232},[171,281,282],{"class":236},"https:\u002F\u002Fmemos.memtensor.cn\u002Fapi\u002Fopenmem\u002Fv1",[171,284,255],{"class":232},[171,286,288],{"class":173,"line":287},8,[171,289,205],{"emptyLinePlaceholder":204},[171,291,293,296,299],{"class":173,"line":292},9,[171,294,295],{"class":181},"data ",[171,297,298],{"class":245},"=",[171,300,301],{"class":221}," {\n",[171,303,305],{"class":173,"line":304},10,[171,306,307],{"class":211},"    # 可选模型：memos-reranker-0.6b（轻量版）或 memos-reranker-4b（增强版）\n",[171,309,311,314,317,319,322,324,327,329],{"class":173,"line":310},11,[171,312,313],{"class":232},"    \"",[171,315,316],{"class":236},"model",[171,318,233],{"class":232},[171,320,321],{"class":221},":",[171,323,249],{"class":232},[171,325,326],{"class":236},"memos-reranker-0.6b",[171,328,233],{"class":232},[171,330,331],{"class":221},",\n",[171,333,335,337,339,341,343,345,348,350],{"class":173,"line":334},12,[171,336,313],{"class":232},[171,338,131],{"class":236},[171,340,233],{"class":232},[171,342,321],{"class":221},[171,344,249],{"class":232},[171,346,347],{"class":236},"有什么酒可以推荐给我呢",[171,349,233],{"class":232},[171,351,331],{"class":221},[171,353,355,357,359,361,363],{"class":173,"line":354},13,[171,356,313],{"class":232},[171,358,99],{"class":236},[171,360,233],{"class":232},[171,362,321],{"class":221},[171,364,365],{"class":221}," [\n",[171,367,369,372,375,377],{"class":173,"line":368},14,[171,370,371],{"class":232},"        \"",[171,373,374],{"class":236},"用户比较喜欢酱香型的，比方说茅台",[171,376,233],{"class":232},[171,378,331],{"class":221},[171,380,382,384,387],{"class":173,"line":381},15,[171,383,371],{"class":232},[171,385,386],{"class":236},"我不喝酒",[171,388,255],{"class":232},[171,390,392],{"class":173,"line":391},16,[171,393,394],{"class":221},"    ]\n",[171,396,398],{"class":173,"line":397},17,[171,399,400],{"class":221},"}\n",[171,402,404],{"class":173,"line":403},18,[171,405,205],{"emptyLinePlaceholder":204},[171,407,409,412,414],{"class":173,"line":408},19,[171,410,411],{"class":181},"headers ",[171,413,298],{"class":245},[171,415,301],{"class":221},[171,417,419,421,424,426,428,430,433,435],{"class":173,"line":418},20,[171,420,313],{"class":232},[171,422,423],{"class":236},"Content-Type",[171,425,233],{"class":232},[171,427,321],{"class":221},[171,429,249],{"class":232},[171,431,432],{"class":236},"application\u002Fjson",[171,434,233],{"class":232},[171,436,331],{"class":221},[171,438,440,442,445,447,449,453,456,460,462,464,466,468,471,473,475,477,480],{"class":173,"line":439},21,[171,441,313],{"class":232},[171,443,444],{"class":236},"Authorization",[171,446,233],{"class":232},[171,448,321],{"class":221},[171,450,452],{"class":451},"sZ6T4"," f",[171,454,455],{"class":236},"\"Token ",[171,457,459],{"class":458},"scyET","{",[171,461,218],{"class":181},[171,463,222],{"class":221},[171,465,226],{"class":225},[171,467,229],{"class":221},[171,469,470],{"class":232},"'",[171,472,237],{"class":236},[171,474,470],{"class":232},[171,476,242],{"class":221},[171,478,479],{"class":458},"}",[171,481,255],{"class":236},[171,483,485],{"class":173,"line":484},22,[171,486,400],{"class":221},[171,488,490,493,495,497,499,501,503,505,507,509,511,513,515,517,519],{"class":173,"line":489},23,[171,491,492],{"class":181},"url ",[171,494,298],{"class":245},[171,496,452],{"class":451},[171,498,233],{"class":236},[171,500,459],{"class":458},[171,502,218],{"class":181},[171,504,222],{"class":221},[171,506,226],{"class":225},[171,508,229],{"class":221},[171,510,470],{"class":232},[171,512,271],{"class":236},[171,514,470],{"class":232},[171,516,242],{"class":221},[171,518,479],{"class":458},[171,520,521],{"class":236},"\u002Frerank\"\n",[171,523,525],{"class":173,"line":524},24,[171,526,205],{"emptyLinePlaceholder":204},[171,528,530,533,535,538,540,544,547,551,553,555,558,561,563,566,568,571,573,576,578,581,583,586],{"class":173,"line":529},25,[171,531,532],{"class":181},"res ",[171,534,298],{"class":245},[171,536,537],{"class":181}," requests",[171,539,222],{"class":221},[171,541,543],{"class":542},"sa-2m","post",[171,545,546],{"class":221},"(",[171,548,550],{"class":549},"sp4zP","url",[171,552,298],{"class":245},[171,554,550],{"class":542},[171,556,557],{"class":221},",",[171,559,560],{"class":549}," headers",[171,562,298],{"class":245},[171,564,565],{"class":542},"headers",[171,567,557],{"class":221},[171,569,570],{"class":549}," data",[171,572,298],{"class":245},[171,574,575],{"class":542},"json",[171,577,222],{"class":221},[171,579,580],{"class":542},"dumps",[171,582,546],{"class":221},[171,584,585],{"class":542},"data",[171,587,588],{"class":221},"))\n",[171,590,592,596,598,601,604,606,609,611,613,616,618,620],{"class":173,"line":591},26,[171,593,595],{"class":594},"svxCd","print",[171,597,546],{"class":221},[171,599,600],{"class":451},"f",[171,602,603],{"class":236},"\"result: ",[171,605,459],{"class":458},[171,607,608],{"class":542},"res",[171,610,222],{"class":221},[171,612,575],{"class":542},[171,614,615],{"class":221},"()",[171,617,479],{"class":458},[171,619,233],{"class":236},[171,621,622],{"class":221},")\n",[161,624,627],{"className":163,"code":625,"filename":626,"language":166,"meta":167,"style":167},"import os\nimport requests\nimport json\n\n# 替换成你的 MemOS API Key\nos.environ[\"MEMOS_API_KEY\"] = \"YOUR_API_KEY\"\nos.environ[\"MEMOS_BASE_URL\"] = \"https:\u002F\u002Fmemos.memtensor.cn\u002Fapi\u002Fopenmem\u002Fv1\"\n\ndata = {\n    # 可选模型：memos-reranker-0.6b（轻量版）或 memos-reranker-4b（增强版）\n    \"model\": \"memos-reranker-0.6b\",\n    \"query\": \"用户有什么兴趣爱好\",\n    \"top_n\": 3,\n    \"documents\": [\n        \"用户喜欢打羽毛球\",\n        \"用户在杭州做后端开发\",\n        \"用户偏好简洁的回复风格\",\n        \"用户比较喜欢酱香型白酒\",\n        \"用户下周三要去北京出差\"\n    ]\n}\n\nheaders = {\n    \"Content-Type\": \"application\u002Fjson\",\n    \"Authorization\": f\"Token {os.environ['MEMOS_API_KEY']}\"\n}\nurl = f\"{os.environ['MEMOS_BASE_URL']}\u002Frerank\"\n\nres = requests.post(url=url, headers=headers, data=json.dumps(data))\nprint(f\"result: {res.json()}\")\n","结合记忆检索的重排",[97,628,629,635,641,647,651,655,681,707,711,719,723,741,760,777,789,800,811,822,833,842,846,850,854,862,880,916,920,953,958,1005],{"__ignoreMap":167},[171,630,631,633],{"class":173,"line":174},[171,632,178],{"class":177},[171,634,182],{"class":181},[171,636,637,639],{"class":173,"line":185},[171,638,178],{"class":177},[171,640,190],{"class":181},[171,642,643,645],{"class":173,"line":193},[171,644,178],{"class":177},[171,646,198],{"class":181},[171,648,649],{"class":173,"line":201},[171,650,205],{"emptyLinePlaceholder":204},[171,652,653],{"class":173,"line":208},[171,654,212],{"class":211},[171,656,657,659,661,663,665,667,669,671,673,675,677,679],{"class":173,"line":215},[171,658,218],{"class":181},[171,660,222],{"class":221},[171,662,226],{"class":225},[171,664,229],{"class":221},[171,666,233],{"class":232},[171,668,237],{"class":236},[171,670,233],{"class":232},[171,672,242],{"class":221},[171,674,246],{"class":245},[171,676,249],{"class":232},[171,678,252],{"class":236},[171,680,255],{"class":232},[171,682,683,685,687,689,691,693,695,697,699,701,703,705],{"class":173,"line":258},[171,684,218],{"class":181},[171,686,222],{"class":221},[171,688,226],{"class":225},[171,690,229],{"class":221},[171,692,233],{"class":232},[171,694,271],{"class":236},[171,696,233],{"class":232},[171,698,242],{"class":221},[171,700,246],{"class":245},[171,702,249],{"class":232},[171,704,282],{"class":236},[171,706,255],{"class":232},[171,708,709],{"class":173,"line":287},[171,710,205],{"emptyLinePlaceholder":204},[171,712,713,715,717],{"class":173,"line":292},[171,714,295],{"class":181},[171,716,298],{"class":245},[171,718,301],{"class":221},[171,720,721],{"class":173,"line":304},[171,722,307],{"class":211},[171,724,725,727,729,731,733,735,737,739],{"class":173,"line":310},[171,726,313],{"class":232},[171,728,316],{"class":236},[171,730,233],{"class":232},[171,732,321],{"class":221},[171,734,249],{"class":232},[171,736,326],{"class":236},[171,738,233],{"class":232},[171,740,331],{"class":221},[171,742,743,745,747,749,751,753,756,758],{"class":173,"line":334},[171,744,313],{"class":232},[171,746,131],{"class":236},[171,748,233],{"class":232},[171,750,321],{"class":221},[171,752,249],{"class":232},[171,754,755],{"class":236},"用户有什么兴趣爱好",[171,757,233],{"class":232},[171,759,331],{"class":221},[171,761,762,764,767,769,771,775],{"class":173,"line":354},[171,763,313],{"class":232},[171,765,766],{"class":236},"top_n",[171,768,233],{"class":232},[171,770,321],{"class":221},[171,772,774],{"class":773},"sJNII"," 3",[171,776,331],{"class":221},[171,778,779,781,783,785,787],{"class":173,"line":368},[171,780,313],{"class":232},[171,782,99],{"class":236},[171,784,233],{"class":232},[171,786,321],{"class":221},[171,788,365],{"class":221},[171,790,791,793,796,798],{"class":173,"line":381},[171,792,371],{"class":232},[171,794,795],{"class":236},"用户喜欢打羽毛球",[171,797,233],{"class":232},[171,799,331],{"class":221},[171,801,802,804,807,809],{"class":173,"line":391},[171,803,371],{"class":232},[171,805,806],{"class":236},"用户在杭州做后端开发",[171,808,233],{"class":232},[171,810,331],{"class":221},[171,812,813,815,818,820],{"class":173,"line":397},[171,814,371],{"class":232},[171,816,817],{"class":236},"用户偏好简洁的回复风格",[171,819,233],{"class":232},[171,821,331],{"class":221},[171,823,824,826,829,831],{"class":173,"line":403},[171,825,371],{"class":232},[171,827,828],{"class":236},"用户比较喜欢酱香型白酒",[171,830,233],{"class":232},[171,832,331],{"class":221},[171,834,835,837,840],{"class":173,"line":408},[171,836,371],{"class":232},[171,838,839],{"class":236},"用户下周三要去北京出差",[171,841,255],{"class":232},[171,843,844],{"class":173,"line":418},[171,845,394],{"class":221},[171,847,848],{"class":173,"line":439},[171,849,400],{"class":221},[171,851,852],{"class":173,"line":484},[171,853,205],{"emptyLinePlaceholder":204},[171,855,856,858,860],{"class":173,"line":489},[171,857,411],{"class":181},[171,859,298],{"class":245},[171,861,301],{"class":221},[171,863,864,866,868,870,872,874,876,878],{"class":173,"line":524},[171,865,313],{"class":232},[171,867,423],{"class":236},[171,869,233],{"class":232},[171,871,321],{"class":221},[171,873,249],{"class":232},[171,875,432],{"class":236},[171,877,233],{"class":232},[171,879,331],{"class":221},[171,881,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914],{"class":173,"line":529},[171,883,313],{"class":232},[171,885,444],{"class":236},[171,887,233],{"class":232},[171,889,321],{"class":221},[171,891,452],{"class":451},[171,893,455],{"class":236},[171,895,459],{"class":458},[171,897,218],{"class":181},[171,899,222],{"class":221},[171,901,226],{"class":225},[171,903,229],{"class":221},[171,905,470],{"class":232},[171,907,237],{"class":236},[171,909,470],{"class":232},[171,911,242],{"class":221},[171,913,479],{"class":458},[171,915,255],{"class":236},[171,917,918],{"class":173,"line":591},[171,919,400],{"class":221},[171,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951],{"class":173,"line":922},27,[171,924,492],{"class":181},[171,926,298],{"class":245},[171,928,452],{"class":451},[171,930,233],{"class":236},[171,932,459],{"class":458},[171,934,218],{"class":181},[171,936,222],{"class":221},[171,938,226],{"class":225},[171,940,229],{"class":221},[171,942,470],{"class":232},[171,944,271],{"class":236},[171,946,470],{"class":232},[171,948,242],{"class":221},[171,950,479],{"class":458},[171,952,521],{"class":236},[171,954,956],{"class":173,"line":955},28,[171,957,205],{"emptyLinePlaceholder":204},[171,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003],{"class":173,"line":960},29,[171,962,532],{"class":181},[171,964,298],{"class":245},[171,966,537],{"class":181},[171,968,222],{"class":221},[171,970,543],{"class":542},[171,972,546],{"class":221},[171,974,550],{"class":549},[171,976,298],{"class":245},[171,978,550],{"class":542},[171,980,557],{"class":221},[171,982,560],{"class":549},[171,984,298],{"class":245},[171,986,565],{"class":542},[171,988,557],{"class":221},[171,990,570],{"class":549},[171,992,298],{"class":245},[171,994,575],{"class":542},[171,996,222],{"class":221},[171,998,580],{"class":542},[171,1000,546],{"class":221},[171,1002,585],{"class":542},[171,1004,588],{"class":221},[171,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030],{"class":173,"line":1007},30,[171,1009,595],{"class":594},[171,1011,546],{"class":221},[171,1013,600],{"class":451},[171,1015,603],{"class":236},[171,1017,459],{"class":458},[171,1019,608],{"class":542},[171,1021,222],{"class":221},[171,1023,575],{"class":542},[171,1025,615],{"class":221},[171,1027,479],{"class":458},[171,1029,233],{"class":236},[171,1031,622],{"class":221},[35,1033],{},[46,1035,1036],{"id":1036},"使用限制",[53,1038,1039,1044,1052,1057,1068],{},[56,1040,1041,1043],{},[97,1042,131],{}," 为必填，建议传入清晰、短句式的当前问题。",[56,1045,1046,1048,1049,33],{},[97,1047,99],{}," 为必填，必须是非空字符串数组；数组中所有候选文档的总 token 数上限为 ",[15,1050,1051],{},"8k",[56,1053,1054,1056],{},[97,1055,766],{}," 可选，用于返回前 N 条最相关结果；不传时默认返回全部结果。",[56,1058,1059,1061,1062,1064,1065,33],{},[97,1060,316],{}," 可选，支持 ",[97,1063,326],{}," 和 ",[97,1066,1067],{},"memos-reranker-4b",[56,1069,1070,1071,1074],{},"当前仅支持",[15,1072,1073],{},"同步模式","，接口将在重排完成后一次性返回结果。",[35,1076],{},[46,1078,1079],{"id":1079},"常见错误与排查",[1081,1082,1083,1099],"table",{},[1084,1085,1086],"thead",{},[1087,1088,1089,1093,1096],"tr",{},[1090,1091,1092],"th",{},"错误码",[1090,1094,1095],{},"常见原因",[1090,1097,1098],{},"处理方式",[1100,1101,1102,1122,1148,1161],"tbody",{},[1087,1103,1104,1110,1113],{},[1105,1106,1107],"td",{},[97,1108,1109],{},"40000",[1105,1111,1112],{},"请求体结构错误，或字段类型不符合要求",[1105,1114,1115,1116,1118,1119,1121],{},"检查 ",[97,1117,131],{}," 是否为字符串，",[97,1120,99],{}," 是否为字符串数组",[1087,1123,1124,1133,1139],{},[1105,1125,1126,1129,1130],{},[97,1127,1128],{},"40002"," \u002F ",[97,1131,1132],{},"40003",[1105,1134,1135,1136,1138],{},"必填字段为空，或 ",[97,1137,99],{}," 为空",[1105,1140,1141,1142,1144,1145,1147],{},"补充 ",[97,1143,131],{}," 和非空 ",[97,1146,99],{},"，不要传空数组",[1087,1149,1150,1155,1158],{},[1105,1151,1152],{},[97,1153,1154],{},"40309",[1105,1156,1157],{},"单位时间输入 token 超限",[1105,1159,1160],{},"减少候选文档数量和长度，降低调用并发，分批重试",[1087,1162,1163,1168,1171],{},[1105,1164,1165],{},[97,1166,1167],{},"50000",[1105,1169,1170],{},"系统内部异常",[1105,1172,1173],{},"稍后重试；如果持续出现，请联系支持",[35,1175],{},[46,1177,1179],{"id":1178},"对比-embedding-检索","对比 Embedding 检索",[1081,1181,1182,1195],{},[1084,1183,1184],{},[1087,1185,1186,1189,1192],{},[1090,1187,1188],{},"对比维度",[1090,1190,1191],{},"记忆重排接口",[1090,1193,1194],{},"Embedding 向量检索",[1100,1196,1197,1208,1218,1229,1240,1251,1261],{},[1087,1198,1199,1202,1205],{},[1105,1200,1201],{},"核心能力",[1105,1203,1204],{},"对候选文档精排，输出相关性分数",[1105,1206,1207],{},"语义相似度召回，快速粗筛",[1087,1209,1210,1213,1216],{},[1105,1211,1212],{},"记忆存储",[1105,1214,1215],{},"❌ 不写入 MemOS 记忆库",[1105,1217,1215],{},[1087,1219,1220,1223,1226],{},[1105,1221,1222],{},"推理模型",[1105,1224,1225],{},"0.6B\u002F4B 重排模型",[1105,1227,1228],{},"Embedding 模型",[1087,1230,1231,1234,1237],{},[1105,1232,1233],{},"精度",[1105,1235,1236],{},"✅ 高（交叉编码，query-doc 交互）",[1105,1238,1239],{},"一般（双塔编码，独立表征）",[1087,1241,1242,1245,1248],{},[1105,1243,1244],{},"速度",[1105,1246,1247],{},"较慢（需逐对计算）",[1105,1249,1250],{},"✅ 快（向量近似检索）",[1087,1252,1253,1256,1259],{},[1105,1254,1255],{},"异步模式",[1105,1257,1258],{},"暂不支持",[1105,1260,1258],{},[1087,1262,1263,1266,1269],{},[1105,1264,1265],{},"典型使用场景",[1105,1267,1268],{},"检索后精排 \u002F 记忆质量评估",[1105,1270,1271],{},"海量记忆库快速召回",[1273,1274,1275],"style",{},"html pre.shiki code .sBMTB, html code.shiki .sBMTB{--shiki-light:#39ADB5;--shiki-light-font-style:italic;--shiki-default:#A0111F;--shiki-default-font-style:inherit;--shiki-dark:#FF7B72;--shiki-dark-font-style:inherit}html pre.shiki code .s5ojA, html code.shiki .s5ojA{--shiki-light:#90A4AE;--shiki-default:#0E1116;--shiki-dark:#E6EDF3}html pre.shiki code .sfVK4, html code.shiki .sfVK4{--shiki-light:#90A4AE;--shiki-light-font-style:italic;--shiki-default:#66707B;--shiki-default-font-style:inherit;--shiki-dark:#8B949E;--shiki-dark-font-style:inherit}html pre.shiki code .suWxN, html code.shiki .suWxN{--shiki-light:#39ADB5;--shiki-default:#0E1116;--shiki-dark:#E6EDF3}html pre.shiki code .s5qkx, html code.shiki .s5qkx{--shiki-light:#E53935;--shiki-default:#0E1116;--shiki-dark:#E6EDF3}html pre.shiki code .sjUum, html code.shiki .sjUum{--shiki-light:#39ADB5;--shiki-default:#032563;--shiki-dark:#A5D6FF}html pre.shiki code .sp1uZ, html code.shiki .sp1uZ{--shiki-light:#91B859;--shiki-default:#032563;--shiki-dark:#A5D6FF}html pre.shiki code .saN0X, html code.shiki .saN0X{--shiki-light:#39ADB5;--shiki-default:#A0111F;--shiki-dark:#FF7B72}html pre.shiki code .sZ6T4, html code.shiki .sZ6T4{--shiki-light:#9C3EDA;--shiki-default:#A0111F;--shiki-dark:#FF7B72}html pre.shiki code .scyET, html code.shiki .scyET{--shiki-light:#F76D47;--shiki-default:#A0111F;--shiki-dark:#FF7B72}html pre.shiki code .sa-2m, html code.shiki .sa-2m{--shiki-light:#6182B8;--shiki-default:#0E1116;--shiki-dark:#E6EDF3}html pre.shiki code .sp4zP, html code.shiki .sp4zP{--shiki-light:#90A4AE;--shiki-light-font-style:italic;--shiki-default:#702C00;--shiki-default-font-style:inherit;--shiki-dark:#FFA657;--shiki-dark-font-style:inherit}html pre.shiki code .svxCd, html code.shiki .svxCd{--shiki-light:#6182B8;--shiki-default:#023B95;--shiki-dark:#79C0FF}html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .sJNII, html code.shiki .sJNII{--shiki-light:#F76D47;--shiki-default:#023B95;--shiki-dark:#79C0FF}",{"title":167,"searchDepth":185,"depth":185,"links":1277},[1278,1279,1280,1281,1282,1283],{"id":48,"depth":185,"text":48},{"id":104,"depth":185,"text":104},{"id":156,"depth":185,"text":156},{"id":1036,"depth":185,"text":1036},{"id":1079,"depth":185,"text":1079},{"id":1178,"depth":185,"text":1179},"基于自研 memos-reranker 模型，提供记忆相关性重排能力。","MemOS 提供记忆重排接口，基于 memos-reranker 系列模型（包括 0.6B 轻量版和 4B 增强版，基础模型采用 qwen-reranker 后训练），开发者可直接传入用户查询与候选记忆列表，一键完成记忆相关性重排。","md",{},"\u002Fcn\u002Fself_developed_model\u002Freranker_usage_example",{"title":5,"description":1285},"cn\u002Fself_developed_model\u002Freranker_usage_example","-PK17LGEmISVXs57-AFT17mlDDJ2Dv5MiEp3Hmvlp68",[1293,-1],{"title":5,"path":1294,"stem":1295,"icon":1296,"framework":6,"module":6,"class":1297,"target":-1,"active":1298,"defaultOpen":1298,"children":-1,"description":1299},"\u002Fcn\u002Fself_developed_model\u002Fextraction_usage_example","self_developed_model\u002Fextraction_usage_example","i-ri-book-open-line",[],false,"基于自研 memos-extractor-0.6b 模型，从对话中抽取事实与偏好记忆。",1781576391808]