Puedes medir la precisión de la consulta de MongoDB Vector Search evaluando cuán cercanos están los resultados de una búsqueda ANN de los resultados de una búsqueda ENN con vectores cuantificados, utilizando los mismos criterios de consulta. Es decir, puede comparar los resultados de la búsqueda ANN con los resultados de la búsqueda ENN y medir con qué frecuencia los resultados de búsqueda de ANN incluyen a los vecinos más cercanos en los resultados de la búsqueda de ENN.
Casos de uso
Es posible que quieras medir la precisión de los resultados si tienes alguna de las siguientes condiciones:
Vectores cuantizados
Gran cantidad de vectores
Vectores de baja dimensión
Requisitos previos
Para probar los ejemplos de esta página, requiere lo siguiente:
Un clúster con, opcionalmente, el conjunto de datos de muestra.
➤ Utilice el menú desplegable Seleccione su lenguaje para seleccionar la interfaz que desea usar para crear su índice.
Procedimientos
Para evaluar la precisión de los resultados de tu consulta de $vectorSearch, debes realizar lo siguiente:
Crea un índice de MongoDB Vector Search en el campo de vectores y en cualquier otro campo por el que quieras prefiltrar los datos.
Recomendamos usar vectores cuantizados para mejorar el almacenamiento de los vectores y la velocidad de las queries. Si no tienes vectores cuantizados, puedes habilitar la cuantización automática al realizar la indexación de tu campo tipo
vector.Construya y ejecute la consulta ENN seguida de la consulta ANN.
Compara los resultados de la consulta ANN con los resultados de la consulta ENN para evaluar las semejanzas y diferencias en los resultados.
Esta sección demuestra cómo realizar los pasos 3 anteriores sobre datos en la colección sample_mflix.embedded_movies. Si no desea usar el conjunto de datos de muestra, puede realizar los procedimientos con sus propios datos.
Cree el índice de búsqueda vectorial de MongoDB
Esta sección demuestra cómo crear un índice de Búsqueda Vectorial de MongoDB para ejecutar ANN y ENN MongoDB Vector Search queries.
En Atlas, vaya a la página Search & Vector Search de su clúster.
Puedes ir a la página de búsqueda de MongoDB desde la opción Search & Vector Search o desde el Data Explorer.
Si aún no aparece, se debe seleccionar la organización que contiene el proyecto en el menú Organizations de la barra de navegación.
Si aún no se muestra, seleccione su proyecto en el menú Projects de la barra de navegación.
En la barra lateral, haz clic en Search & Vector Search en la sección Database.
- Si no tienes clústeres, haz clic
- Create cluster para crear uno. Para obtener más información, consulte Crear un clúster.
- Si tu proyecto tiene varios clústeres, selecciona el clúster
- quieres utilizar en el menú desplegable Select cluster, luego haz clic en Go to Search.
Aparece la página de Búsqueda y Búsqueda Vectorial.
Si aún no aparece, se debe seleccionar la organización que contiene el proyecto en el menú Organizations de la barra de navegación.
Si aún no se muestra, seleccione su proyecto en el menú Projects de la barra de navegación.
En la barra lateral, haz clic en Data Explorer en la sección Database.
Expanda la base de datos y seleccione la colección.
Haga clic en la pestaña Indexes para la colección.
Haga clic en el enlace Search and Vector Search en el banner.
Aparece la página de Búsqueda y Búsqueda Vectorial.
Haz clic Create Search Indexen.
Se debe iniciar la configuración del índice.
Realiza las siguientes selecciones en la página y luego haz clic en Next.
Search Type | Seleccione el tipo de índice Vector Search. |
How do you want to set up your vector data? | Selecciona uno de los siguientes:
|
How do you want to set up your vector data? | Elige Bring your own embeddings. |
Index Name and Data Source | Especifique la siguiente información:
|
Configuration Method | Para una experiencia guiada, selecciona Visual Editor. |
Especifique la definición del índice.
Ejemplo
Esta definición de índice indexa el campo plot_embedding_voyage_4_large como el tipo vector con quantization binario automático habilitado y el campo genres como el tipo filter en un índice de MongoDB Vector Search. El campo plot_embedding_voyage_4_large contiene embebidos creados usando el modelo de embebidos de Voyage IA, voyage-4-large. La definición del índice especifica 2048 dimensiones vectoriales y mide la distancia utilizando la función de similitud dotProduct.
Atlas detecta automáticamente los campos que contienen embeddings vectoriales, así como sus dimensiones correspondientes. Para la colección sample_mflix.embedded_movies, selecciona el campo plot_embedding_voyage_4_large.
Para configurar el índice, haga lo siguiente:
Selecciona Dot Product del menú desplegable Similarity Method.
Haz clic en Advanced, luego selecciona la cuantificación Binary en el menú desplegable.
En la sección Filter Field, especifica el campo
genrespor el que deseas filtrar los datos.
Pegue la siguiente definición de índice en el editor JSON:
1 { 2 "fields": [ 3 { 4 "numDimensions": 2048, 5 "path": "plot_embedding_voyage_4_large", 6 "similarity": "dotProduct", 7 "type": "vector", 8 "quantization": "binary" 9 }, 10 { 11 "path": "genres", 12 "type": "filter" 13 } 14 ] 15 }
Haz clic Create Vector Search Indexen.
Atlas muestra una ventana modal para informar que se está creando el índice.
Verifique el estado.
El nuevo índice creado se muestra en la página Search & Vector Search. Mientras se construye el índice, el campo Status indica Pending. Cuando el índice termina de construirse, el campo Status lee Ready.
Nota
Las colecciones más grandes tardan más en indexarse. Se recibirá una notificación por correo electrónico cuando el índice haya terminado de construirse.
Conéctate a la implementación mediante mongosh.
En la terminal, conectarse a la implementación alojada en la nube de Atlas o a una implementación local desde mongosh. Para obtener instrucciones detalladas sobre cómo conectarse, consultar Conectar a una implementación.
Ejecuta el método db.collection.createSearchIndex() para crear el índice.
Ejemplo
Esta definición de índice indexa el campo plot_embedding_voyage_4_large como el tipo vector con quantization binario automático habilitado y el campo genres como el tipo filter en un índice de MongoDB Vector Search. El campo plot_embedding_voyage_4_large contiene embebidos creados usando el modelo de embebidos de Voyage IA, voyage-4-large. La definición del índice especifica 2048 dimensiones vectoriales y mide la distancia utilizando la función de similitud dotProduct.
db.embedded_movies.createSearchIndex( "vector_index", "vectorSearch", { "fields": [ { "numDimensions": 2048, "path": "plot_embedding_voyage_4_large", "similarity": "dotProduct", "type": "vector", "quantization": "binary" }, { "path": "genres", "type": "filter" } ] } )
vector_index
Ejecuta las consultas
No puedes ejecutar consultas de MongoDB Vector Search en la Interfaz de Usuario de Atlas Search Tester. Use mongosh o un controlador compatible para ejecutar la consulta.
Esta sección demuestra cómo ejecutar las consultas ENN y ANN en la colección indexada.
Prepara las incrustaciones del query.
Guarde las siguientes incrustaciones en un archivo llamado query-embeddings.js:
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Conéctate a tu clúster usando mongosh.
Abre una ventana de terminal y conéctate a tu clúster utilizando mongosh. Para obtener más información, consulta Conéctate a un clúster mediante mongosh.
Cambie a su base de datos.
Ejemplo
Utilice la base de datos sample_mflix. Para cambiar a la base de datos sample_mflix, ejecuta el siguiente comando en el mongosh prompt:
use sample_mflix
switched to db sample_mflix
Ejecuta tu query ENN ENN.
La siguiente query utiliza la etapa $vectorSearch para buscar películas en el campo plot_embedding_voyage_4_large. El query utiliza exact para realizar una búsqueda ENN y limita los resultados a solo 10 documentos. La query también especifica una etapa $project para excluir todos los campos excepto plot, title y genres de los documentos en los resultados. También agrega un campo con el nombre score que muestra la puntuación de búsqueda vectorial de los documentos en los resultados.
1 db.embedded_movies.aggregate([ 2 { 3 "$vectorSearch": { 4 "index": "vector_index", 5 "path": "plot_embedding_voyage_4_large", 6 "filter": { 7 "$and": [ 8 { 9 "genres": { "$eq": "Action" } 10 }, 11 { 12 "genres": { "$ne": "Comedy" } 13 } 14 ] 15 }, 16 "queryVector": TIME_TRAVEL_EMBEDDING, 17 "exact": true, 18 "limit": 10 19 } 20 }, 21 { 22 "$project": { 23 "_id": 0, 24 "plot": 1, 25 "title": 1, 26 "genres": 1, 27 "score": { $meta: "vectorSearchScore" } 28 } 29 } 30 ])
[ { plot: 'An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.', genres: [ 'Action', 'Crime', 'Sci-Fi' ], title: 'Timecop', score: 0.7673629522323608 }, { plot: 'A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...', genres: [ 'Action', 'Sci-Fi' ], title: 'A.P.E.X.', score: 0.7462635636329651 }, { plot: "My iz budushchego, or We Are from the Future, is a movie about time travel. Four 21st century treasure seekers are transported back into the middle of a WWII battle in Russia. The movie's ...", genres: [ 'Action', 'Drama', 'Fantasy' ], title: 'My iz budushchego', score: 0.7433278560638428 }, { plot: 'A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.', genres: [ 'Action', 'Crime', 'Drama' ], title: 'Retroactive', score: 0.7427071332931519 }, { plot: 'A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.', genres: [ 'Action', 'Sci-Fi', 'Thriller' ], title: 'Thrill Seekers', score: 0.7418472170829773 }, { plot: 'With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.', genres: [ 'Action', 'Adventure', 'Drama' ], title: 'Love Story 2050', score: 0.7339942455291748 }, { plot: 'Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...', genres: [ 'Action', 'Adventure', 'Sci-Fi' ], title: 'Timerider: The Adventure of Lyle Swann', score: 0.7168680429458618 }, { plot: 'Bound by a shared destiny, a teen bursting with scientific curiosity and a former boy-genius inventor embark on a mission to unearth the secrets of a place somewhere in time and space that exists in their collective memory.', genres: [ 'Action', 'Adventure', 'Family' ], title: 'Tomorrowland', score: 0.7159395217895508 }, { plot: "Captain Picard and his crew pursue the Borg back in time to stop them from preventing Earth's first contact with an alien species. They also make sure that Zefram Cochrane makes his famous maiden flight at warp speed.", genres: [ 'Action', 'Adventure', 'Sci-Fi' ], title: 'Star Trek: First Contact', score: 0.7109469175338745 }, { plot: "Ba'al travels back in time and prevents the Stargate program from being started. SG-1 must somehow restore history.", genres: [ 'Action', 'Adventure', 'Drama' ], title: 'Stargate: Continuum', score: 0.7034971714019775 } ]
Esta query utiliza las siguientes etapas de pipeline:
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Ejecuta tu consulta ANN.
La siguiente query utiliza la etapa $vectorSearch para buscar películas en el campo plot_embedding_voyage_4_large. La query utiliza numCandidates para realizar una búsqueda ANN y limita los resultados a solo 10 documentos. La query también especifica una etapa $project para excluir todos los campos excepto plot, title y genres de los documentos en los resultados. También agrega un campo con el nombre score que muestra la puntuación de búsqueda vectorial de los documentos en los resultados.
1 db.embedded_movies.aggregate([ 2 { 3 "$vectorSearch": { 4 "index": "vector_index", 5 "path": "plot_embedding_voyage_4_large", 6 "filter": { 7 "$and": [ 8 { 9 "genres": { "$eq": "Action" } 10 }, 11 { 12 "genres": { "$ne": "Comedy" } 13 } 14 ] 15 }, 16 "queryVector": TIME_TRAVEL_EMBEDDING, 17 "numCandidates": 100, 18 "limit": 10 19 } 20 }, 21 { 22 "$project": { 23 "_id": 0, 24 "plot": 1, 25 "title": 1, 26 "genres": 1, 27 "score": { $meta: "vectorSearchScore" } 28 } 29 } 30 ])
[ { plot: 'An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.', genres: [ 'Action', 'Crime', 'Sci-Fi' ], title: 'Timecop', score: 0.7673629522323608 }, { plot: 'A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...', genres: [ 'Action', 'Sci-Fi' ], title: 'A.P.E.X.', score: 0.7462635636329651 }, { plot: "My iz budushchego, or We Are from the Future, is a movie about time travel. Four 21st century treasure seekers are transported back into the middle of a WWII battle in Russia. The movie's ...", genres: [ 'Action', 'Drama', 'Fantasy' ], title: 'My iz budushchego', score: 0.7433278560638428 }, { plot: 'A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.', genres: [ 'Action', 'Crime', 'Drama' ], title: 'Retroactive', score: 0.7427071332931519 }, { plot: 'A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.', genres: [ 'Action', 'Sci-Fi', 'Thriller' ], title: 'Thrill Seekers', score: 0.7418472170829773 }, { plot: 'With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.', genres: [ 'Action', 'Adventure', 'Drama' ], title: 'Love Story 2050', score: 0.7339942455291748 }, { plot: 'Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...', genres: [ 'Action', 'Adventure', 'Sci-Fi' ], title: 'Timerider: The Adventure of Lyle Swann', score: 0.7168680429458618 }, { plot: 'Bound by a shared destiny, a teen bursting with scientific curiosity and a former boy-genius inventor embark on a mission to unearth the secrets of a place somewhere in time and space that exists in their collective memory.', genres: [ 'Action', 'Adventure', 'Family' ], title: 'Tomorrowland', score: 0.7159395217895508 }, { plot: "Captain Picard and his crew pursue the Borg back in time to stop them from preventing Earth's first contact with an alien species. They also make sure that Zefram Cochrane makes his famous maiden flight at warp speed.", genres: [ 'Action', 'Adventure', 'Sci-Fi' ], title: 'Star Trek: First Contact', score: 0.7109469175338745 }, { plot: "Ba'al travels back in time and prevents the Stargate program from being started. SG-1 must somehow restore history.", genres: [ 'Action', 'Adventure', 'Drama' ], title: 'Stargate: Continuum', score: 0.7034971714019775 } ]
Esta query utiliza las siguientes etapas de pipeline:
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Vuelve a clasificar los resultados de ANN.
La siguiente query utiliza la etapa $vectorSearch para buscar películas en el campo plot_embedding_voyage_4_large. La query pasa hasta 50 documentos de la búsqueda ANN a la etapa $rerank para volver a clasificar los resultados por relevancia semántica para la query. La query utiliza el modelo rerank-2.5 para volver a clasificar los resultados. La query también agrega un campo llamado rerankScore que muestra la puntuación de reclasificación de los documentos en los resultados.
1 db.embedded_movies.aggregate([ 2 { 3 "$vectorSearch": { 4 "index": "vector_index", 5 "path": "plot_embedding_voyage_4_large", 6 "filter": { 7 "$and": [ 8 { 9 "genres": { "$eq": "Action" } 10 }, 11 { 12 "genres": { "$ne": "Comedy" } 13 } 14 ] 15 }, 16 "queryVector": TIME_TRAVEL_EMBEDDING, 17 "numCandidates": 100, 18 "limit": 50 19 } 20 }, 21 { 22 "$project": { 23 "_id": 0, 24 "plot": 1, 25 "title": 1, 26 "genres": 1, 27 "score": { $meta: "vectorSearchScore" } 28 } 29 }, 30 { 31 "$rerank": { 32 "query": { 33 "text": "time travel" 34 }, 35 "path": "plot", 36 "numDocsToRerank": 50, 37 "model": "rerank-2.5" 38 } 39 }, 40 { 41 "$addFields": { 42 "rerankScore": { "$meta": "score" } 43 } 44 }, 45 { 46 "$project": { 47 "_id": 0, 48 "plot": 1, 49 "title": 1, 50 "genres": 1, 51 "score": { $meta: "vectorSearchScore" }, 52 "rerankScore": { $meta: "score" } 53 } 54 }, 55 { "$limit": 10 } 56 ])
[ { plot: 'A detective investigates a mysterious motel room, which acts as a portal to an alternate universe.', genres: [ 'Action', 'Fantasy', 'Mystery' ], title: 'The Lost Room', score: 0.6741988658905029, rerankScore: 0.5986876487731934 }, { plot: 'A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.', genres: [ 'Action', 'Crime', 'Drama' ], title: 'Retroactive', score: 0.7427071332931519, rerankScore: 0.5986876487731934 }, { plot: 'An executed samurai takes an existential journey throughout time, space and eternity in search of bloody vengeance.', genres: [ 'Action', 'Drama', 'Fantasy' ], title: 'Izo', score: 0.6576001644134521, rerankScore: 0.5986876487731934 }, { plot: 'An executed samurai takes an existential journey throughout time, space and eternity in search of bloody vengeance.', genres: [ 'Action', 'Drama', 'Fantasy' ], title: 'Izo', score: 0.6576001644134521, rerankScore: 0.5986876487731934 }, { plot: 'With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.', genres: [ 'Action', 'Adventure', 'Drama' ], title: 'Love Story 2050', score: 0.7339942455291748, rerankScore: 0.5986876487731934 }, { plot: 'In an alternate Victorian Age world, a group of famous contemporary fantasy, SF and adventure characters team up on a secret mission.', genres: [ 'Action', 'Adventure', 'Fantasy' ], title: 'The League of Extraordinary Gentlemen', score: 0.6491703987121582, rerankScore: 0.5986876487731934 }, { plot: "Ba'al travels back in time and prevents the Stargate program from being started. SG-1 must somehow restore history.", genres: [ 'Action', 'Adventure', 'Drama' ], title: 'Stargate: Continuum', score: 0.7034971714019775, rerankScore: 0.5986876487731934 }, { plot: 'A young woman from the future forces a local gunman to help her stop an impending alien invasion which will wipe out the human race.', genres: [ 'Action', 'Adventure', 'Sci-Fi' ], title: 'Returner', score: 0.6581127643585205, rerankScore: 0.5986876487731934 }, { plot: 'An interstellar teleportation device, found in Egypt, leads to a planet with humans resembling ancient Egyptians who worship the god Ra.', genres: [ 'Action', 'Adventure', 'Sci-Fi' ], title: 'Stargate', score: 0.6534044146537781, rerankScore: 0.5986876487731934 }, { plot: 'A teenager with teleportation abilities suddenly finds himself in the middle of an ancient war between those like him and their sworn annihilators.', genres: [ 'Action', 'Adventure', 'Sci-Fi' ], title: 'Jumper', score: 0.6926636695861816, rerankScore: 0.5986876487731934 } ]
Comparar los Resultados
Los nueve primeros documentos en los resultados de ENN y ANN query de ejemplo son los mismos y tienen la misma puntuación. Esto indica un elevado nivel de similitud en los principales resultados de la query. Sin embargo, el décimo documento en los resultados de la query ENN y ANN es diferente, lo que refleja una ligera variación en la búsqueda exacta y aproximada del vecino más cercano.
ENN la búsqueda examina todos los candidatos posibles y devuelve la coincidencia más cercana a la query según el puntaje de similitud. ANN la búsqueda utiliza aproximaciones para acelerar la búsqueda, lo que podría alterar el puntaje de los documentos. Si incrementas el valor numCandidates en la consulta ANN, los resultados serán una coincidencia más cercana a los resultados de la consulta ENN. Sin embargo, esto consumiría recursos computacionales adicionales y podría reducir la velocidad de la query. El décimo documento en los resultados refleja el equilibrio entre precisión y velocidad.
Después de evaluar cuantitativamente los resultados en relación con la ENN verdad de referencia, recomendamos probar un conjunto de 100 consultas de la misma manera y calcular la "similitud de Jaccard" entre los conjuntos de resultados. La similitud de Jaccard puede calcularse dividiendo la intersección entre dos conjuntos, es decir, los elementos superpuestos, por el tamaño total del conjunto. Esto proporciona una idea del rendimiento de recuperación de las consultas ANN, incluidas aquellas realizadas con vectores cuantificados.
Si notas grandes discrepancias entre tus ENN y ANN resultados de query, te recomendamos ajustar el valor numCandidates para lograr un equilibrio ideal entre precisión y velocidad para tu aplicación.
Se recomienda utilizar listas de evaluación para una lista estructurada de queries con los resultados ideales para la query de ANN o los valores de información fundamental de ENN. Se pueden utilizar los resultados de la query de ENN como lista de evaluación de referencia y luego evaluar los resultados de la query de ANN con esta lista de evaluación para medir la recuperación, la superposición y el rendimiento. Las listas de evaluación proporcionan una forma de evaluar si las queries de ANN cumplen con los umbrales de precisión o recuperación deseados en comparación con la línea de base de ENN. Utiliza los LLM para generar las queries de ejemplo.
Mejorar la precisión con la reordenación
Para mejorar la precisión de los resultados de $vectorSearch, puede volver a clasificarlos por relevancia semántica para la query. La reclasificación reordena los resultados para priorizar los documentos más pertinentes. Puede aplicar la etapa $rerank después de la etapa $vectorSearch para reordenar los resultados utilizando un modelo de reclasificación.
Para obtener más información, consulte $rerank Etapa del pipeline de agregación.