Para agentes de IA: hay un índice de documentación disponible en https://www.mongodb.com/es/docs/llms.txt — versiones en markdown de todas las páginas están disponibles agregando .md a cualquier ruta URL.
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Empezar con la reclasificación nativa

Importante

La reclasificación nativa está disponible como funcionalidad preliminar. La funcionalidad y la documentación correspondiente pueden cambiar en cualquier momento durante el período de vista previa. Por lo tanto, no recomendamos usar esta funcionalidad en entornos de producción. Actualmente, no utilizamos ningún dato de cliente de esta funcionalidad para entrenar nuestros modelos. Para aprender más, consulte Funcionalidades de vista previa.

La etapa de agregación $rerank reordena los documentos de entrada mediante modelos de reclasificación de Voyage AI y devuelve los mismos documentos ordenados por relevancia para la query. La etapa $rerank puede aparecer en cualquier parte de un pipeline de agregación.

No es necesario crear un índice para ejecutar query de $rerank. Sin embargo, MongoDB recomienda utilizar $rerank después de una etapa de $vectorSearch, $search, $rankFusion o $scoreFusion, que requieren la creación de un índice de búsqueda vectorial de MongoDB o índice de MongoDB Search en tu colección.

Este inicio rápido demuestra cómo habilitar y usar la reclasificación nativa en Atlas mediante la etapa de agregación $rerank en query en el conjunto de datos sample_mflix.

Antes de comenzar, cumpla con las siguientes tareas:

  • Implemente un clúster de Atlas con MongoDB 8.3 o posterior seleccionando Latest Version with Auto-Upgrades en la página Cluster Builder de la interfaz de usuario de Atlas.

    Para obtener más información sobre un clúster de Atlas, consulte Crear un clúster. La reclasificación nativa no está disponible para implementaciones autogestionadas.

  • Cargue el conjunto de datos sample_mflix en su clúster.

    Para obtener más información, consulte Cargar datos de muestra.

  • Descarga e instala mongosh.

    Para obtener más información, consulte Instalar MongoDB Shell.

Para obtener más información sobre la compatibilidad y los requisitos para usar $rerank, consulte Consideraciones.

Para empezar con la reranking nativa, siga estos pasos:

1
  1. Si aún no se muestra, seleccione la organización que contiene su proyecto deseado en el menú Organizations de la barra de navegación.

  2. Si aún no aparece, selecciona el proyecto deseado en el menú Projects de la barra de navegación.

  3. En la barra lateral, haz clic en el icono junto a Project Overview.

La página Configuración del proyecto se muestra.

  1. Desplácese hacia abajo hasta la sección Native Reranking y cambie Enable Native Reranking a On.

  2. Haga clic en Confirm.

2

La siguiente query usa la etapa $rerank para encontrar las diez películas principales más relevantes para la query de artes marciales.

  1. Cambie a la base de datos sample_mflix:

    use sample_mflix
  2. Ejecute una query de reclasificación nativa.

    La siguiente query utiliza la etapa $rerank para devolver las películas más relevantes para la query de artes marciales utilizando el modelo rerank-2.5. La query prioriza las películas sobre el entrenamiento y los torneos de artes marciales. Utiliza las siguientes etapas de pipeline:

    etapa de pipeline
    Descripción

    Filtra los documentos para incluir solo los documentos que tienen un campo fullplot de tipo string.

    Ordena los documentos en orden descendente del campo released para garantizar un orden determinista.

    Reordena los documentos para que coincidan con la query utilizando el modelo de reclasificación rerank-2.5. El parámetro numDocsToRerank especifica el número máximo de documentos que se deben considerar para la reclasificación. El parámetro path especifica el campo que se utilizará para la reclasificación.

    Agrega un campo denominado rerankScore a los documentos.

    Limita la salida a 10 documentos.

    Excluye todos los campos excepto title, fullplot y rerankScore de los documentos en los resultados.

    1db.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

MongoDB recomienda usar $rerank después de una etapa de $vectorSearch, $search, $rankFusion o $scoreFusion. Para ello, cree un índice de búsqueda vectorial de MongoDB y un índice de MongoDB Search en su colección para ejecutar las etapas $vectorSearch y $search.

Para probar los queries de muestra que utilizan las etapas $vectorSearch y $search en esta guía de inicio rápido, debe crear un índice de MongoDB búsqueda vectorial y MongoDB Search en su colección.

Cree un índice de búsqueda vectorial de MongoDB en el campo plot_embedding_voyage_4_large.

Para crear el índice, complete los siguientes pasos:

  1. Haz clic en Search & Vector Search en la barra lateral.

  2. Haga clic en Create Index.

  3. Inicie la configuración del índice:

    • Seleccione Vector Search como tipo de índice.

    • Introduce vector_index como el nombre del índice.

    • Seleccione la colección sample_mflix.embedded_movies.

    • Seleccione JSON Editor como tipo de editor.

  4. Haga clic en Next y pegue la siguiente definición de índice en el editor JSON:

    Índice en el campo ``plot_embedding_voyage_4_large``.
    {
    "fields": [
    {
    "type": "vector",
    "path": "plot_embedding_voyage_4_large",
    "numDimensions": 2048,
    "similarity": "dotProduct"
    }
    ]
    }
  5. Hacer clic en Next, luego hacer clic en Create Index.

Cree un índice de MongoDB Search en el campo ``fullplot``.

Para crear el índice, complete los siguientes pasos:

  1. Haz clic en Search & Vector Search en la barra lateral.

  2. Haga clic en Create Index.

  3. Inicie la configuración del índice:

    • Seleccione Search como tipo de índice.

    • Introduce search_index como el nombre del índice.

    • Seleccione la colección sample_mflix.embedded_movies.

    • Seleccione JSON Editor como tipo de editor.

  4. Haga clic en Next y pegue la siguiente definición de índice en el editor JSON:

    Índice dinámico en los campos indexables dinámicamente.
    {
    "mappings": {
    "dynamic": true
    }
    }
  5. Hacer clic en Next, luego hacer clic en Create Index.

4
  1. Conéctese a su clúster usando mongosh.

  2. Cree un archivo llamado embeddings.js para almacenar las incrustaciones que se utilizarán en las query.

  3. Copie y pegue las siguientes incrustaciones en el archivo.

    Incrustaciones para el término de query "artes marciales".
    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, 0.011638902127742767, -0.002978189615532756, 0.019033027812838554, 0.006675252690911293, -0.013624361716210842, -0.03806605562567711, -0.003936687484383583, -0.029028791934251785, -0.025742514058947563, 0.023962445557117462, 0.010611940175294876, -0.005614058580249548, -0.009584978222846985, -0.012049687094986439, -0.0004000872722826898, 0.015815213322639465, 0.0032006981782615185, -0.03505363687872887, -0.009448050521314144, -0.0468294657766819, -0.002892609452828765, -0.029439575970172882, -0.012734328396618366, 0.0030124217737466097, 0.001891321619041264, -0.00422766013070941, -0.001283702440559864, -0.0006332932389341295, 0.011433510109782219, -0.01622599922120571, 0.03409513831138611, -0.011228117160499096, -0.04354318603873253, 0.00015083503967616707, 0.018759172409772873, 0.012528936378657818, -0.0176637452095747, 0.016089070588350296, -0.03067192994058132, -0.0005776660982519388, -0.013418969698250294, 0.009653442539274693, 0.03039807453751564, -0.008181463927030563, 0.030808858573436737, 0.0145828602835536, -0.009653442539274693, 0.029439575970172882, 0.01916995644569397, -0.025331728160381317, -0.0468294657766819, -0.025057872757315636, 0.02040231041610241, 0.005203274078667164, 0.03039807453751564, -0.01793760247528553, 0.006332932040095329, -0.022593162953853607, 0.023003948852419853, 0.007633750792592764, -0.027111796662211418, -0.021360808983445168, -0.03916148468852043, 0.03012421727180481, -0.012392007745802402, -0.00547713041305542, 0.01718449778854847, 0.05723601207137108, 0.01369282603263855, -0.010680404491722584, -0.022593162953853607, 0.008694944903254509, -0.020128455013036728, 0.031767357140779495, 0.01643139123916626, -0.045734040439128876, -0.007907606661319733, 0.021634666249155998, 0.008318391628563404, 0.04956803098320961, -0.004415936302393675, -0.004176312126219273, -0.02368859015405178, -0.014514395967125893, 0.012049687094986439, 0.009858834557235241, -0.01622599922120571, 0.03313663974404335, 0.005271737929433584, -0.007907606661319733, -0.005956379231065512, 0.026016369462013245, -0.013145113363862038, -0.026564082130789757, 0.007325661834329367, -0.04135233536362648, 0.02368859015405178, 0.0036457150708884, -0.036970630288124084, -0.06107000634074211, 0.005271737929433584, 0.013761290349066257, 0.01615753397345543, 0.009653442539274693, 0.024784015491604805, 0.029028791934251785, -0.002516056876629591, 0.02190852165222168, 0.016773711889982224, -0.026701010763645172, 0.023003948852419853, 0.00398803548887372, 0.019854597747325897, -0.012871257029473782, -0.005442898254841566, -0.005819451063871384, 0.009653442539274693, -0.02218237891793251, 0.008968801237642765, -0.0291657205671072, -0.0176637452095747, -0.021497737616300583, 0.0002513917279429734, 0.007736446801573038, -0.0043474724516272545, 0.0046213287860155106, 0.014719787985086441, 0.010064227506518364, -0.04710332304239273, 0.03217814117670059, -0.028070293366909027, -0.006743717007339001, -0.010269619524478912, 0.010132691822946072, -0.011912758462131023, 0.03258892521262169, -0.046007897704839706, 0.027248723432421684, 0.0194438137114048, 0.016362927854061127, 0.001300818519666791, -0.0017715094145387411, 0.03409513831138611, 0.017526818439364433, -0.037518344819545746, 0.0033547424245625734, 0.020813096314668655, -0.004159195814281702, -0.059153009206056595, 0.011501974426209927, -0.019033027812838554, 0.022045450285077095, -0.0070860376581549644, -0.007017573341727257, -0.0044844006188213825, 0.018074531108140945, -0.024236302822828293, 0.007565286476165056, -0.0010226829908788204, -0.009242657572031021, -0.029850361868739128, 0.014993644319474697, -0.024373231455683708, 0.007462590467184782, -0.008181463927030563, 0.026837939396500587, 0.013761290349066257, -0.022730091586709023, -0.023551661521196365, -0.005750987213104963, -0.026016369462013245, 0.0036628309171646833, -0.029576504603028297, 0.0030124217737466097, 0.012734328396618366, -0.019991526380181313, 0.013829754665493965, 0.006059075705707073, 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  4. Cambie a la base de datos sample_mflix:

    use sample_mflix
  5. Carga las incrustaciones en mongosh.

    load('embeddings.js');
5

Las siguientes queries utilizan la etapa $rerank después de una etapa $vectorSearch y $search para encontrar las diez películas más relevantes para la query de artes marciales.

Ejecute $rerank después de $vectorSearch.

La siguiente query utiliza la etapa $vectorSearch para hacer coincidir las películas más relevantes para la query de artes marciales. A continuación, la query utiliza la etapa $rerank para reordenar los documentos y centrarse en los estilos de combate y la coreografía de lucha. Utiliza las siguientes etapas de pipeline:

etapa de pipeline
Descripción

Realiza una búsqueda vectorial del texto de la query artes marciales utilizando el modelo de incrustación voyage-4-large. El parámetro numCandidates especifica la cantidad máxima de documentos que se deben considerar para la reclasificación.

Excluye todos los campos excepto title, fullplot y vectorScore de los documentos en los resultados.

Filtra los documentos para incluir solo los documentos que tienen un campo fullplot de tipo string.

Reordena los documentos para que coincidan con la query utilizando el modelo de reclasificación rerank-2.5. El parámetro numDocsToRerank especifica la cantidad máxima de documentos que se deben volver a clasificar. El parámetro path especifica el campo que se utilizará para la reclasificación.

Agrega un campo denominado rerankScore a los documentos.

Limita la salida a 10 documentos.

Excluye todos los campos excepto title, fullplot y rerankScore de los documentos en los resultados.

1db.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
}
]

Ejecute $rerank después de $search.

La siguiente query utiliza la etapa $search para realizar una búsqueda de texto completo para el texto de la query artes marciales. A continuación, la query utiliza la etapa $rerank para reordenar los documentos para priorizar las tramas de películas sobre competiciones y entrenamientos de artes marciales. Utiliza las siguientes etapas de pipeline:

etapa de pipeline
Descripción

Realiza una búsqueda de texto completo para el texto de query artes marciales.

Limita la salida de la etapa $search a 100 documentos.

Excluye todos los campos excepto title, fullplot y searchScore de los documentos en los resultados.

Filtra los documentos para incluir solo los documentos que tienen un campo fullplot de tipo string.

Reordena los documentos para que coincidan con la query utilizando el modelo de reclasificación rerank-2.5. El parámetro numDocsToRerank especifica la cantidad máxima de documentos que se deben volver a clasificar. El parámetro path especifica el campo que se utilizará para la reclasificación.

Agrega un campo denominado rerankScore a los documentos.

Limita la salida a 10 documentos.

Excluye todos los campos excepto title, fullplot y rerankScore de los documentos en los resultados.

1db.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
}
]

Para obtener más información sobre la reclasificación nativa, consulte los siguientes recursos: