{"id":16759,"date":"2025-01-13T14:14:23","date_gmt":"2025-01-13T22:14:23","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=16759"},"modified":"2025-06-13T16:36:23","modified_gmt":"2025-06-13T23:36:23","slug":"introducing-couchbase-as-vector-store-in-mindsdb","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/introducing-couchbase-as-vector-store-in-mindsdb\/","title":{"rendered":"Presentaci\u00f3n de Couchbase como almac\u00e9n vectorial en MindsDB"},"content":{"rendered":"

Nos complace anunciar que Couchbase<\/b> como almac\u00e9n de vectores en MindsDB<\/b>La nueva integraci\u00f3n de MindsDB con Couchbase re\u00fane lo mejor de ambos mundos: las capacidades de aprendizaje autom\u00e1tico de vanguardia de MindsDB y el almacenamiento vectorial de alto rendimiento de Couchbase. Con esta nueva integraci\u00f3n, los usuarios pueden combinar a la perfecci\u00f3n datos e IA, desbloqueando nuevas y potentes posibilidades para sus aplicaciones.<\/p>\n

MindsDB es una herramienta de c\u00f3digo abierto que integra diversos modelos de inteligencia artificial (IA) con bases de datos u otros sistemas de gesti\u00f3n de datos, lo que permite crear y desplegar f\u00e1cilmente nuevas soluciones basadas en IA. Con su interfaz intuitiva y su amplia compatibilidad con las fuentes de datos m\u00e1s populares, MindsDB facilita la implementaci\u00f3n de modelos avanzados de aprendizaje autom\u00e1tico sin necesidad de profundos conocimientos t\u00e9cnicos<\/p>\n

En las secciones siguientes exploraremos algunos detalles de esta integraci\u00f3n.<\/p>\n

Configuraci\u00f3n de MindsDB con Couchbase<\/h2>\n

Para empezar a utilizar MindsDB y Couchbase, deber\u00e1 seguir unos sencillos pasos<\/p>\n

Instalaci\u00f3n de MindsDB<\/h3>\n

Ejecute el contenedor Docker de MindsDB. Ejecute el siguiente comando para crear un contenedor Docker para MindsDB:<\/p>\n

docker run --name mindsdb_container -p 47334:47334 -p 47335:47335 mindsdb\/mindsdb<\/code><\/p>\n

Una vez que el contenedor est\u00e1 en funcionamiento, puede acceder a los archivos Editor MindsDB<\/b> navegando hasta https:\/\/127.0.0.1:47334<\/code> en tu navegador.<\/p>\n

Alternativa<\/b>: Utilice la extensi\u00f3n Docker Desktop de MindsDB para gestionar el contenedor directamente desde Docker Desktop.<\/p>\n

Instalaci\u00f3n de Couchbase dentro de MindsDB<\/h3>\n

Hay dos formas de instalar las dependencias necesarias para la integraci\u00f3n de Couchbase:<\/p>\n

M\u00e9todo 1: Instalaci\u00f3n a trav\u00e9s del editor MindsDB<\/h4>\n
    \n
  1. \n
      \n
    1. Abra el editor MindsDB.<\/li>\n
    2. Ir a Ajustes<\/b> y luego Gestionar integraciones<\/b>.<\/li>\n
    3. Seleccione CouchbaseVector<\/b> integraci\u00f3n.<\/li>\n
    4. Haga clic en Instale<\/b>.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

      M\u00e9todo 2: Instalaci\u00f3n a trav\u00e9s de la l\u00ednea de comandos<\/h4>\n
        \n
      1. \n
          \n
        1. Inicie el contenedor Docker MindsDB:
          \ndocker start mindsdb_container<\/code><\/span><\/li>\n
        2. Inicia un shell interactivo en el contenedor:
          \ndocker exec -it mindsdb_container sh<\/code><\/span><\/li>\n
        3. Instale las dependencias de Couchbase:
          \npip install .[couchbasevector]<\/code><\/span><\/li>\n
        4. Salir del int\u00e9rprete de comandos interactivo:
          \nsalida<\/code><\/span><\/li>\n
        5. Reinicie el contenedor:
          \ndocker restart mindsdb_container<\/code><\/span><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

          \u00a1Ahora tendr\u00e1s Couchbase instalado como dependencia en tu editor MindsDB!<\/p>\n

          Antes de realizar b\u00fasquedas vectoriales en Couchbase, aseg\u00farate de que tienes un \u00edndice de b\u00fasqueda de texto completo (FTS) configurado para tus incrustaciones vectoriales. Esto es necesario para realizar b\u00fasquedas vectoriales.<\/span><\/strong><\/p>\n

          Conexi\u00f3n a Couchbase y b\u00fasqueda vectorial<\/h3>\n

          Ahora que MindsDB y Couchbase est\u00e1n integrados, puedes conectar Couchbase como un almac\u00e9n vectorial y realizar b\u00fasquedas vectoriales. He aqu\u00ed c\u00f3mo:<\/p>\n

          1. Establecer una conexi\u00f3n con la base de datos<\/h4>\n

          Utiliza la siguiente sintaxis SQL para crear una conexi\u00f3n con tu instancia de Couchbase. El siguiente ejemplo se conecta a la instancia viaje-muestra<\/b> (puede activar este bucket desde la interfaz de usuario de Couchbase).<\/p>\n

          CREAR BASE DE DATOS couchbase_vectorsource\r\nCON\r\nmotor='couchbasevector',\r\nparameters={\r\n  \"cadena_de_conexi\u00f3n\": \"couchbase:\/\/localhost\",\r\n  \"bucket\": \"muestra-viaje\",\r\n  \"user\": \"admin\",\r\n  \"password\": \"password\",\r\n  \"\u00e1mbito\": \"inventario\"\r\n};<\/pre>\n
          \"\"<\/a><\/p>\n
          2. Crear una tabla en Couchbase<\/h4>\n
          Puedes crear una colecci\u00f3n (o tabla) en Couchbase y rellenarla con datos de otra fuente de datos MindsDB. Por ejemplo, para almacenar incrustaciones vectoriales de una base de datos MySQL:<\/p>\n
          CREATE TABLE couchbase_vectorsource.test_embeddings (\r\n  SELECCIONAR incrustaciones\r\n  FROM mysql_datasource.test_embeddings\r\n);\r\n<\/pre>\n
          En este ejemplo, mysql_datasource<\/em> se refiere a otra fuente de datos MindsDB conectada a una base de datos MySQL. La direcci\u00f3n incrustaciones_prueba<\/em> contiene las incrustaciones que desea almacenar en Couchbase.<\/p>\n
          3. Realizaci\u00f3n de la b\u00fasqueda vectorial<\/h4>\n
          Para realizar una b\u00fasqueda vectorial, utilice una consulta como la siguiente.<\/p>\n
          SELECT *\r\nFROM couchbase_vectorsource.test_embeddings\r\nWHERE embeddings = (\r\n  SELECCIONAR incrustaciones\r\n  FROM mysql_datasource.test_embeddings\r\n  LIMIT 1\r\n);\r\n<\/pre>\n
          \"\"<\/a><\/p>\n
          Conclusi\u00f3n<\/h3>\n
          Esta integraci\u00f3n le permite combinar f\u00e1cilmente el almacenamiento vectorial de alto rendimiento de Couchbase con las capacidades de aprendizaje autom\u00e1tico de MindsDB, permitiendo el desarrollo de aplicaciones inteligentes y escalables con el m\u00ednimo esfuerzo. Tanto si est\u00e1 creando sistemas de recomendaci\u00f3n, b\u00fasquedas sem\u00e1nticas u otras soluciones basadas en IA, esta potente combinaci\u00f3n le proporciona las herramientas necesarias para tener \u00e9xito.<\/p>\n
          Pr\u00f3ximos pasos<\/h3>\n
          M\u00e1s informaci\u00f3n en Documentaci\u00f3n de MindsDB<\/a>que incluye una gu\u00eda de integraci\u00f3n de Couchbase<\/a>.<\/p>\n
          \u00a1Feliz codificaci\u00f3n!<\/p>\n


          <\/p>","protected":false},"excerpt":{"rendered":"
          Estamos encantados de anunciar que Couchbase ahora es compatible como un almac\u00e9n vectorial en MindsDB, uniendo lo mejor de ambos mundos: las capacidades de aprendizaje autom\u00e1tico de vanguardia de MindsDB y el almacenamiento vectorial de alto rendimiento de Couchbase. Con esta nueva integraci\u00f3n, los usuarios pueden combinar sin problemas [...]<\/p>","protected":false},"author":85563,"featured_media":16764,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[10122,2242,2225,1816,9973,9937],"tags":[10078],"ppma_author":[10077],"class_list":["post-16759","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence-ai","category-connectors","category-cloud","category-couchbase-server","category-generative-ai-genai","category-vector-search","tag-mindsdb"],"acf":[],"yoast_head":"\nIntroducing Couchbase as a Vector Store in MindsDB<\/title>\n<meta name=\"description\" content=\"Combine Couchbase and MindsDB to unlock AI-driven applications with high-performance vector storage and seamless integration.\" \/>\n<meta name=\"robots\" content=\"index, follow, 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