重要
原生重新排序可作为预览功能使用。在预览期间，功能和相应的文档可能随时更改。因此，我们不建议在生产环境中使用此功能。我们目前不使用此功能中的任何客户数据来训练我们的模型。要了解更多信息，请参阅预览功能。
$rerank 聚合阶段使用 Voyage AI 重排名模型 对输入文档进行重新排序，并返回按与查询的相关性排序的相同文档。$rerank 阶段可以出现在聚合管道中的任何位置。
您无需创建索引来运行 $rerank 查询。但是，MongoDB 建议在$rerank $vectorSearch、 、$search $rankFusion或 阶段后使用$scoreFusion ，这些阶段需要在集合上创建 MongoDB Vector Search 或 MongoDB Search 索引。
本快速入门介绍如何在 Atlas 中使用 $rerank 聚合阶段对 sample_mflix 数据集进行查询，从而启用和使用原生重排序。
先决条件
在开始之前，请完成以下任务：
通过在 Atlas 用户界面 Cluster Builder 页面中选择 Latest Version with Auto-Upgrades，部署带有 MongoDB 8.3 或更高版本的 Atlas 集群。
要了解有关 Atlas 集群的更多信息，请参阅 创建集群。原生重新排序不适用于自管理部署。
将 sample_mflix 数据集加载到集群中。
要了解更多信息，请参阅加载示例数据。
下载并安装
mongosh。要了解更多信息，请参阅 安装 MongoDB Shell。
要了解有关使用 $rerank 的兼容性和要求，请参阅 注意事项。
步骤
要开始使用原生重排名，请按照以下步骤操作：
1
启用原生重新排序。
在Atlas中，转到 Project Settings 页面。
如果尚未显示，请从导航栏上的 Organizations 菜单中选择包含所需项目的组织。
如果尚未显示，请从导航栏的Projects菜单中选择所需的项目。
在侧边栏中，单击 图标 Project Overview 旁边的图标。
显示项目设置页面。
向下滚动到 Native Reranking 部分，并将 Enable Native Reranking 切换为 On。
单击 Confirm（连接）。
2
运行原生重新排序查询。
以下查询使用 $rerank 阶段查找与查询“武术”最相关的十部电影。
切换到
sample_mflix数据库：use sample_mflix 运行原生重新排序查询。
以下查询使用
$rerank阶段返回与使用rerank-2.5模型查询武术最相关的电影。查询优先显示有关武术训练和比赛的电影。它使用以下管道阶段：管道阶段说明过滤文档以仅包含 string 类型的
fullplot字段的文档。按
released字段的降序顺序对文档进行排序，以确保确定性顺序。使用
rerank-2.5重排名模型重新排序文档以匹配查询。numDocsToRerank参数指定要考虑重新排序的最大文档数。path参数指定要用于重新排序的字段。向文档添加名为
rerankScore的字段。将输出限制为 10 份文档。
从结果文档中排除除
title、fullplot和rerankScore之外的所有字段。1 db.embedded_movies.aggregate([ 2 { 3 "$match": { 4 "fullplot": { "$exists": true, "$type": "string" } 5 } 6 }, 7 { 8 "$sort": { "released": -1 } 9 }, 10 { 11 "$rerank": { 12 "model": "rerank-2.5", 13 "query": { 14 "text": "martial arts; prioritize films about martial arts training and tournaments" 15 }, 16 "path": "fullplot", 17 "numDocsToRerank": 100 18 } 19 }, 20 { 21 "$addFields": { 22 "rerankScore": { "$meta": "score" } 23 } 24 }, 25 { "$limit": 10 }, 26 { 27 "$project": { 28 "_id": 0, 29 "title": 1, 30 "fullplot": 1, 31 "rerankScore": 1 32 } 33 } 34 ]) [ { title: 'Ti mene nosis', fullplot: 'No treason, no surrender.', rerankScore: 0.5986876487731934 }, { title: 'The Real Miyagi', fullplot: 'The life of the greatest karate master of a generation.', rerankScore: 0.5986876487731934 }, { title: 'Peter Pan Live!', fullplot: 'A live telecast of the beloved J. M. Barrie story.', rerankScore: 0.5986876487731934 }, { title: "Why Don't You Play in Hell?", fullplot: 'A renegade film crew becomes embroiled with a yakuza clan feud.', rerankScore: 0.5986876487731934 }, { fullplot: "A French police magistrate spends years trying to take down one of the country's most powerful drug rings.", title: 'The Connection', rerankScore: 0.5986876487731934 }, { title: 'Anomalisa', fullplot: "Charlie Kaufman's first stop-motion film about a man crippled by the mundanity of his life.", rerankScore: 0.5986876487731934 }, { title: 'The Master Plan', fullplot: 'Charles Ingvar Jènsson gathers three criminals to take vengeance upon the people who killed his uncle.', rerankScore: 0.5986876487731934 }, { title: 'Redeemer', fullplot: 'A former hit-man for a drug cartel becomes a vigilante to pay for his sins and find redemption.', rerankScore: 0.5986876487731934 }, { title: 'Rise of the Legend', fullplot: 'An orphan, whose father has been killed by dark power, attempts to bring justice back to the town.', rerankScore: 0.5986876487731934 }, { title: 'Darkness on the Edge of Town', fullplot: 'A troubled teenage sharpshooter decides to avenge the death of her estranged sister after she is found murdered in a public bathroom.', rerankScore: 0.5986876487731934 } ]
3
使用 $vectorSearch 和 $search 创建用于运行原生重排序查询的索引。
MongoDB 建议在$rerank $vectorSearch、$search 、$rankFusion 或$scoreFusion 阶段之后使用 。为此，请在集合上创建 MongoDB 向量搜索和 MongoDB Search 索引，以运行 $vectorSearch 和 $search 阶段。
要在此快速入门中尝试使用 $vectorSearch 和 $search 阶段的示例查询，必须在集合上创建 MongoDB 向量搜索 和 MongoDB Search 索引。
要创建索引，请完成以下步骤：
单击侧边栏中的 Search & Vector Search（支持）。
单击 Create Index（连接）。
开始您的索引配置：
选择 Vector Search 作为索引类型。
输入
vector_index作为索引的名称。选择
sample_mflix.embedded_movies集合。选择 JSON Editor 作为编辑器类型。
单击 Next 并在 JSON 编辑器中粘贴以下索引定义：
在 ``plot_embedding_voyage_4_large`` 字段上建立索引。{ "fields": [ { "type": "vector", "path": "plot_embedding_voyage_4_large", "numDimensions": 2048, "similarity": "dotProduct" } ] } 单击 Next，然后单击 Create Index。
要创建索引，请完成以下步骤：
单击侧边栏中的 Search & Vector Search（支持）。
单击 Create Index（连接）。
开始您的索引配置：
选择 Search 作为索引类型。
输入
search_index作为索引的名称。选择
sample_mflix.embedded_movies集合。选择 JSON Editor 作为编辑器类型。
单击 Next 并在 JSON 编辑器中粘贴以下索引定义：
在动态可索引字段上创建动态索引。{ "mappings": { "dynamic": true } } 单击 Next，然后单击 Create Index。
4
准备使用原生重新排序运行 $vectorSearch 和 $search 查询。
使用
mongosh连接到集群。创建一个名为
embeddings.js的文件，用于存储要在查询中使用的嵌入。将以下嵌入复制并粘贴到该文件中。
查询词“武术”的嵌入。MARTIAL_ARTS_EMBEDDINGS=[0.02218237891793251, -0.007462590467184782, -0.01691064052283764, 0.0072914301417768, -0.011365045793354511, -0.045186325907707214, -6.846413452876732e-05, -0.0034916705917567015, 0.009995763190090656, 0.025742514058947563, -0.002481824718415737, -0.0029268416110426188, 0.0023106643930077553, -0.04135233536362648, -0.019717669114470482, -0.024510158225893974, -0.008729176595807076, -0.001048356993123889, 0.01033808384090662, 0.008900336921215057, -0.00797607097774744, 0.03258892521262169, 0.00766798248514533, 0.010406548157334328, 0.04107847809791565, -0.020128455013036728, -0.03833991289138794, 0.018348386511206627, -0.01533596497029066, 0.042995475232601166, 0.020813096314668655, -0.0016260230913758278, -0.004364588297903538, -0.011159653775393963, -0.03436899557709694, 0.010817333124577999, -0.0008900337270461023, -0.012118151411414146, -0.0156782865524292, 0.04381704330444336, -0.013350505381822586, 0.003851107321679592, -0.00010537057823967189, 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sample_mflix数据库：use sample_mflix 将嵌入加载到
mongosh。load('embeddings.js');
5
运行带有原生重排名的 $vectorSearch 和 $search。
以下查询在$rerank 和$vectorSearch$search 阶段之后使用 阶段，以查找与查询“ 武术”最相关的十部电影。
以下查询使用 $vectorSearch 阶段来匹配与“武术”查询最相关的电影。然后，查询使用 $rerank 阶段重新排序文档，以“专注于战斗风格和战斗编排”。它使用以下管道阶段：
管道阶段 | 说明 |
|---|---|
使用 | |
从结果文档中排除除 | |
过滤文档以仅包含 string 类型的 | |
使用 | |
向文档添加名为 | |
将输出限制为 10 份文档。 | |
从结果文档中排除除 |
1 db.embedded_movies.aggregate([ 2 { 3 "$vectorSearch": { 4 "index": "vector_index", 5 "path": "plot_embedding_voyage_4_large", 6 "queryVector": MARTIAL_ARTS_EMBEDDINGS, 7 "numCandidates": 100, 8 "limit": 100 9 } 10 }, 11 { 12 "$project": { 13 "_id": 0, 14 "title": 1, 15 "fullplot": 1, 16 "vectorScore": { "$meta": "vectorSearchScore" } 17 } 18 }, 19 { 20 "$match": { 21 "fullplot": { "$exists": true, "$type": "string" } 22 } 23 }, 24 { 25 "$rerank": { 26 "model": "rerank-2.5", 27 "query": { 28 "text": "martial arts; focus on combat styles and fight choreography" 29 }, 30 "path": "fullplot", 31 "numDocsToRerank": 100 32 } 33 }, 34 { 35 "$addFields": { 36 "rerankScore": { "$meta": "score" } 37 } 38 }, 39 { "$limit": 10 }, 40 { 41 "$project": { 42 "_id": 0, 43 "title": 1, 44 "fullplot": 1, 45 "vectorScore": 1, 46 "rerankScore": 1 47 } 48 } 49 ])
[ { title: 'The Real Miyagi', fullplot: 'The life of the greatest karate master of a generation.', vectorScore: 0.7579228281974792, rerankScore: 0.5986876487731934 }, { title: 'Kung Fu Killer', fullplot: 'A Caucasian monk in Shanghai infiltrates the underworld to find the killers of his spiritual female Grandmaster.', vectorScore: 0.7047170996665955, rerankScore: 0.5986876487731934 }, { title: 'Dragon Tiger Gate', fullplot: 'Three young martial arts masters emerge from the back streets of Hong Kong to help the powerless fight injustice.', vectorScore: 0.7224205732345581, rerankScore: 0.5986876487731934 }, { title: 'Pistol Opera', fullplot: 'The No. 3 assassin of Japan is given the chance to usurp No. 1 and take their place.', vectorScore: 0.6872181296348572, rerankScore: 0.5986876487731934 }, { title: 'Once Upon a Time in Shanghai', fullplot: 'A laborer moves to Shanghai in the hope of becoming rich. But ends up using his kung fu skills to survive.', vectorScore: 0.6834211349487305, rerankScore: 0.5986876487731934 }, { title: 'Yasmine', fullplot: "A young woman who lives with her strict father works to become a a champion at Silat, Brunei's version of kung fu.", vectorScore: 0.7219811677932739, rerankScore: 0.5986876487731934 }, { title: 'Best of the Best', fullplot: 'Team USA gets rid of personal ghosts while fighting Team Korea in Taekwondo championship. "Adversity overcome" formula with excellent fighting scenes.', vectorScore: 0.6988193988800049, rerankScore: 0.5986876487731934 }, { title: 'Dragon Strike', fullplot: 'The adventures of a restless martial arts student called Dragon, who, while constantly pursuing a girl, gets involved in the affairs of a gang of thieves.', vectorScore: 0.7163552641868591, rerankScore: 0.5986876487731934 }, { title: 'Legendary Weapons of China', fullplot: "A band of killers from an ailing kung fu and magic society are sent on a manhunt for a former member of the society, whose bad mouthing threatens it's existence.", vectorScore: 0.7019355893135071, rerankScore: 0.5986876487731934 }, { title: 'The Touch', fullplot: 'A sister and brother, the last heirs of a family of acrobats, are called upon by a Buddhist monk sect to retrieve an artifact that their ancestors have protected throughout the ages.', vectorScore: 0.6897575855255127, rerankScore: 0.5986876487731934 } ]
以下查询使用 $search 阶段对查询文本 武术执行全文搜索。查询使用 $rerank 阶段重新排序文档，以优先显示有关武术比赛和训练的电影情节。它使用以下管道阶段：
管道阶段 | 说明 |
|---|---|
对查询文本 武术执行全文搜索。 | |
将 | |
从结果文档中排除除 | |
过滤文档以仅包含 string 类型的 | |
使用 | |
向文档添加名为 | |
将输出限制为 10 份文档。 | |
从结果文档中排除除 |
1 db.embedded_movies.aggregate([ 2 { 3 "$search": { 4 "index": "search_index", 5 "text": { 6 "query": "martial arts", 7 "path": "fullplot" 8 } 9 } 10 }, 11 { 12 "$limit": 100 13 }, 14 { 15 "$project": { 16 "_id": 0, 17 "title": 1, 18 "fullplot": 1, 19 "searchScore": { "$meta": "searchScore" } 20 } 21 }, 22 { 23 "$match": { 24 "fullplot": { "$exists": true, "$type": "string" } 25 } 26 }, 27 { 28 "$rerank": { 29 "model": "rerank-2.5", 30 "query": { 31 "text": "martial arts; prioritize movie plots about martial arts competition and training" 32 }, 33 "path": "fullplot", 34 "numDocsToRerank": 100 35 } 36 }, 37 { 38 "$addFields": { 39 "rerankScore": { "$meta": "score" } 40 } 41 }, 42 { "$limit": 10 }, 43 { 44 "$project": { 45 "_id": 0, 46 "title": 1, 47 "fullplot": 1, 48 "searchScore": 1, 49 "rerankScore": 1 50 } 51 } 52 ])
[ { title: 'Dragon Tiger Gate', fullplot: 'Three young martial arts masters emerge from the back streets of Hong Kong to help the powerless fight injustice.', searchScore: 5.30598258972168, rerankScore: 0.5986876487731934 }, { title: 'Dragon Strike', fullplot: 'The adventures of a restless martial arts student called Dragon, who, while constantly pursuing a girl, gets involved in the affairs of a gang of thieves.', searchScore: 5.074832439422607, rerankScore: 0.5986876487731934 }, { title: 'Here Comes the Boom', fullplot: 'A high school biology teacher looks to become a successful mixed-martial arts fighter in an effort to raise money to prevent extra-curricular activities from being axed at his cash-strapped school.', searchScore: 4.862981796264648, rerankScore: 0.5986876487731934 }, { title: 'Here Comes the Boom', fullplot: 'A high school biology teacher looks to become a successful mixed-martial arts fighter in an effort to raise money to prevent extra-curricular activities from being axed at his cash-strapped school.', searchScore: 4.862981796264648, rerankScore: 0.5986876487731934 }, { title: 'Vampire Effect', fullplot: "It's a high-kicking battle on the dark side when an ace vampire slayer and his beautiful sidekicks wage the ultimate martial-arts showdown with one of the most dangerous of the undead.", searchScore: 4.862981796264648, rerankScore: 0.5986876487731934 }, { fullplot: 'FBI agent Malcolm Turner and his son, Trent, go undercover at an all-girls performing arts school after Trent witnesses a murder. Posing as Big Momma and Charmaine, they must find the murderer before he finds them.', title: 'Big Mommas: Like Father, Like Son', searchScore: 2.3932719230651855, rerankScore: 0.5986876487731934 }, { title: 'The Last Dragon', fullplot: 'In New York City, a young man searches for the "master" to obtain the final level of martial arts mastery known as the glow. Along the way, he must fight an evil martial arts expert and rescue a beautiful singer from an obsessed music promoter.', searchScore: 5.777412414550781, rerankScore: 0.5986876487731934 }, { title: 'SPL: Kill Zone', fullplot: 'Chan, an articulate senior detective nearing the end of his career, is taking care of the daughter of a witness killed by ruthless crime lord Po. Martial arts expert Ma is set to take over as head of the crime unit, replacing Chan who wants an early retirement.', searchScore: 4.463685035705566, rerankScore: 0.5986876487731934 }, { title: 'Fighter in the Wind', fullplot: 'A young Korean man arrives in Japan near the end of World War II with hopes of being a fighter pilot, but ends up on the streets battling racism, organized crime, occupying American servicemen, and his own fear of failure as a martial artist. (Korean with English subtitles)', searchScore: 2.2145204544067383, rerankScore: 0.5986876487731934 }, { title: "Bruce Lee: A Warrior's Journey", fullplot: "Legendary martial artist Bruce Lee is the subject of this thoughtful documentary by Lee aficionado John Little. Using interviews, behind-the-scenes footage and action sequences from Lee's last (unfinished) film, Game of Death, Little paints a textured, complex portrait of the world's most famous action hero.", searchScore: 2.2390332221984863, rerankScore: 0.5986876487731934 } ]
其他资源
要了解有关原生重排名的更多信息，请参阅以下资源：