{"id":16518,"date":"2024-10-29T05:50:01","date_gmt":"2024-10-29T12:50:01","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=16518"},"modified":"2025-06-16T10:43:45","modified_gmt":"2025-06-16T17:43:45","slug":"supercharge-rag-couchbase-vector-unstructured-io","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/supercharge-rag-couchbase-vector-unstructured-io\/","title":{"rendered":"Mejora tu aplicaci\u00f3n RAG con Couchbase Vector Search y Unstructured.io"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Hoy estamos encantados de anunciar el lanzamiento de las soluciones Couchbase y <a href=\"https:\/\/unstructured.io\">Unstructured.io<\/a> que agiliza el proceso de ingesta de datos no estructurados en tu pipeline RAG construido sobre Couchbase como almac\u00e9n de vectores. Gracias a este conector, ahora puedes convertir documentos no estructurados y poco estructurados en archivos JSON y dejarlos listos para ser consumidos por aplicaciones RAG mediante la generaci\u00f3n de incrustaciones vectoriales en tan solo unas l\u00edneas de c\u00f3digo.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">\u00bfPor qu\u00e9 es importante para los desarrolladores la ingesti\u00f3n de datos no estructurados?\u00a0<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Una cantidad abrumadora de datos empresariales no est\u00e1 estructurada y es poco probable que esto cambie en un futuro previsible. La presencia de datos en formatos no estructurados tiene implicaciones para los desarrolladores que van m\u00e1s all\u00e1 del tiempo y el coste. Significa que la toma de decisiones en las empresas se basa en la cantidad limitada de datos consumibles y estructurados, en lugar de en todos los datos que residen en ella. Adem\u00e1s, significa que una gran variedad de flujos de trabajo empresariales (internos y de cara al cliente) requieren intervenci\u00f3n manual, lo que los hace m\u00e1s costosos, lentos y propensos a errores. Es probable que este problema se agrave a medida que aumente la huella de datos de las empresas.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">\u00bfC\u00f3mo aprovechan los desarrolladores los datos no estructurados?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Una de las formas m\u00e1s eficaces de aprovechar los datos no estructurados es introducirlos en una canalizaci\u00f3n RAG, lo que permite recuperarlos a trav\u00e9s de <a href=\"https:\/\/www.couchbase.com\/blog\/es\/what-is-vector-search\/\">b\u00fasquedas vectoriales<\/a>. Esto tiene amplias aplicaciones en diversos sectores. Las aplicaciones RAG pueden aprovecharse para impulsar la eficiencia operativa facilitando el acceso a documentos m\u00e1s relevantes, lo que se traduce en tiempos de resoluci\u00f3n m\u00e1s r\u00e1pidos y costes m\u00e1s bajos. Algunos de los casos de uso que pueden resolverse son:\u00a0<\/span><\/p>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Permite a los equipos de atenci\u00f3n al cliente de todos los sectores encontrar los documentos pertinentes para la resoluci\u00f3n de problemas.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Permitir a los profesionales de la medicina extraer art\u00edculos relevantes y expedientes de pacientes almacenados en bases de datos documentales para ayudar en el diagn\u00f3stico y la planificaci\u00f3n del tratamiento.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Sistemas de recomendaci\u00f3n que aprovechan los datos del cliente para sugerirle el producto m\u00e1s adecuado.<\/span><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<div id=\"attachment_16519\" style=\"width: 910px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image2-8.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-16519\" class=\"wp-image-16519 size-large\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image2-8-1024x506.png\" alt=\"\" width=\"900\" height=\"445\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image2-8-1024x506.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image2-8-300x148.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image2-8-768x380.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image2-8-1536x760.png 1536w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image2-8-1320x653.png 1320w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image2-8.png 1990w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/a><p id=\"caption-attachment-16519\" class=\"wp-caption-text\">Fig. 1. Canal de ingesta de datos no estructurados con unstructured.io y Capella VectorDB<\/p><\/div>\n<h2><span style=\"font-weight: 400;\">\u00bfC\u00f3mo se procesan actualmente los datos no estructurados?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">La forma actual de lograr esto (ingesta de datos no estructurados para aplicaciones RAG) con Couchbase Capella, requerir\u00eda que los desarrolladores escribieran aplicaciones para conectarse a un extractor de datos no estructurados, analizar su salida, trocearla, y luego enviarla a un modelo de incrustaci\u00f3n para generar vectores que luego tendr\u00edan que ser enviados a una DB de vectores en Couchbase Capella.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">\u00bfC\u00f3mo mejora nuestro conector el m\u00e9todo actual de ingesta de datos no estructurados?\u00a0<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Los conectores unstructured.io - Couchbase simplifican el proceso de conexi\u00f3n de los dos elementos primarios antes mencionados de la canalizaci\u00f3n de la ingesta, facilitando:<\/span><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><span style=\"font-weight: 400;\">Convierta datos de texto no estructurados en documentos JSON estructurados<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Generar los vectores correspondientes<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> Ins\u00e9rtelos en Couchbase Capella<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">En <\/span><a href=\"https:\/\/docs.unstructured.io\/api-reference\/ingest\/source-connectors\/couchbase\"><span style=\"font-weight: 400;\">conector de origen<\/span><\/a><span style=\"font-weight: 400;\"> ayuda a obtener los datos de Couchbase Capella antes de que se agrupen en trozos (y, opcionalmente, se vectoricen), mientras que la funci\u00f3n <\/span><a href=\"https:\/\/docs.unstructured.io\/api-reference\/ingest\/destination-connector\/couchbase\"><span style=\"font-weight: 400;\">conector de destino<\/span><\/a><span style=\"font-weight: 400;\"> ayuda a ingerir datos procesados de unstructured.io en Couchbase Capella.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Capella es una base de datos vectorial de alto rendimiento que le permite configurar, indexar y consultar r\u00e1pidamente una base de datos vectorial. A continuaci\u00f3n te explicamos c\u00f3mo aprovechar los conectores para empezar a procesar tus documentos con tan solo unas l\u00edneas de c\u00f3digo.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Paso 1: Requisitos previos<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Antes de empezar a utilizar el conector, deber\u00e1s cumplir una serie de requisitos previos. Necesitar\u00e1:<\/span><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">En <\/span><a href=\"https:\/\/docs.unstructured.io\/api-reference\/api-services\/saas-api-development-guide\"><span style=\"font-weight: 400;\">Clave API de unstructured.io<\/span><\/a><span style=\"font-weight: 400;\"> que puede obtenerse creando una cuenta en unstructured.io<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Una cuenta Capella activa con un cl\u00faster y una base de datos configurados, as\u00ed como un \u00e1mbito y unas colecciones definidos dentro de la base de datos.<\/span>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><a href=\"https:\/\/docs.couchbase.com\/cloud\/get-started\/create-account.html\"><span style=\"font-weight: 400;\">Crear una cuenta gratuita y una base de datos<\/span><\/a><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><a href=\"https:\/\/docs.couchbase.com\/cloud\/clusters\/data-service\/about-buckets-scopes-collections.html\"><span style=\"font-weight: 400;\">Establecer una recogida<\/span><\/a><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/docs.couchbase.com\/cloud\/clusters\/allow-ip-address.html\"><span style=\"font-weight: 400;\">Para configurar el cl\u00faster para que utilice su direcci\u00f3n IP<\/span><\/a><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/docs.couchbase.com\/cloud\/clusters\/manage-database-users.html\"><span style=\"font-weight: 400;\">Para configurar las credenciales de la base de datos<\/span><\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3><span style=\"font-weight: 400;\">Paso 2: Definir el origen de los datos no estructurados y su destino<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Una vez establecidos los requisitos previos, puede definir la fuente de los documentos que desea procesar y utilizar como entradas para su canalizaci\u00f3n RAG de producci\u00f3n. El conector soporta la ingesta desde varias fuentes: Couchbase, directorios locales, buckets S3 y otros servicios de almacenamiento. Unstructured.io <\/span><a href=\"https:\/\/docs.unstructured.io\/open-source\/introduction\/supported-file-types\"><span style=\"font-weight: 400;\">admite una amplia variedad de formatos de documentos no estructurados<\/span><\/a><span style=\"font-weight: 400;\"> incluidos PDF, archivos de imagen (JPEG, PNG), documentos de texto (DOCX, DOC), correos electr\u00f3nicos, hojas de c\u00e1lculo y formatos de archivo de presentaci\u00f3n (PPT).\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Del mismo modo, define la ubicaci\u00f3n intermedia que se utilizar\u00e1 para almacenar la salida generada por unstructured.io antes de vectorizar el texto. Esto puede ser una colecci\u00f3n en una base de datos escalable y de alto rendimiento en Couchbase o cualquier otro servicio de almacenamiento que est\u00e9s utilizando actualmente. A continuaci\u00f3n, puede definir la colecci\u00f3n de base de datos de vectores en Couchbase donde se almacenar\u00e1n los documentos JSON que contienen el texto original, los metadatos y el vector de incrustaci\u00f3n correspondiente.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Paso 3: Defina su estrategia de fragmentaci\u00f3n y seleccione un modelo de incrustaci\u00f3n para la generaci\u00f3n de incrustaciones vectoriales.<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Una vez definidas las ubicaciones de entrada y salida, puede <\/span><a href=\"https:\/\/docs.unstructured.io\/api-reference\/api-services\/chunking\"><span style=\"font-weight: 400;\">seleccione una de las estrategias de fragmentaci\u00f3n<\/span><\/a><span style=\"font-weight: 400;\"> con el apoyo de unstructured.io y <\/span><a href=\"https:\/\/docs.unstructured.io\/open-source\/core-functionality\/embedding\"><span style=\"font-weight: 400;\">elegir un modelo de incrustaci\u00f3n<\/span><\/a><span style=\"font-weight: 400;\"> de su elecci\u00f3n. Unstructured.io admite la incrustaci\u00f3n de modelos de varios proveedores, como Huggingface, OpenAI y Bedrock, entre otros.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Paso 4: Ejecute su aplicaci\u00f3n<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Pruebe su aplicaci\u00f3n. Deber\u00edas poder ver los nuevos documentos JSON estructurados insertados en tu colecci\u00f3n Capella despu\u00e9s de todos los pasos de procesamiento ejecutados a trav\u00e9s de unstructured.io. A continuaci\u00f3n se muestra un ejemplo de los archivos que convertimos de PDF a JSON e ingerimos en una colecci\u00f3n Capella de Couchbase. Para una gu\u00eda paso a paso junto con el c\u00f3digo de c\u00f3mo hacer esto, echa un vistazo a nuestro <\/span><a href=\"https:\/\/docs.unstructured.io\/api-reference\/ingest\/destination-connector\/couchbase\"><span style=\"font-weight: 400;\">tutorial completo aqu\u00ed<\/span><\/a><span style=\"font-weight: 400;\">. Tambi\u00e9n puedes utilizar nuestro cuaderno para seguirnos.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ejemplo de documento no estructurado:<\/span><\/p>\n<p><a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image3-5.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-16520\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image3-5.png\" alt=\"\" width=\"596\" height=\"756\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image3-5.png 596w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image3-5-237x300.png 237w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image3-5-300x381.png 300w\" sizes=\"auto, (max-width: 596px) 100vw, 596px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Salida de unstructured.io:<\/span><\/p>\n<p><a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image4-6.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-16521\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image4-6.png\" alt=\"\" width=\"836\" height=\"551\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image4-6.png 836w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image4-6-300x198.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image4-6-768x506.png 768w\" sizes=\"auto, (max-width: 836px) 100vw, 836px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Documentos introducidos en Capella:<\/span><\/p>\n<p><a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image5-6.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-16522\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image5-6-1024x323.png\" alt=\"\" width=\"900\" height=\"284\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image5-6-1024x323.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image5-6-300x95.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image5-6-768x242.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image5-6-1536x485.png 1536w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image5-6-1320x417.png 1320w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/image5-6.png 1999w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Ahora puede ejecutar su aplicaci\u00f3n para procesar documentos de texto no estructurados, identificar los componentes, extraerlos como documentos JSON y generar incrustaciones vectoriales antes de insertarlos en su colecci\u00f3n Capella.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Recursos<\/span><\/h2>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><a href=\"https:\/\/www.couchbase.com\/blog\/es\/rag-applications-with-vector-search-and-couchbase\/\"><span style=\"font-weight: 400;\">Creaci\u00f3n de aplicaciones RAG integrales con Couchbase Vector Search<\/span><\/a><\/li>\n<li><a href=\"https:\/\/www.couchbase.com\/blog\/es\/couchbase-bedrock-rag-applications\/\"><span style=\"font-weight: 400;\">Crear aplicaciones RAG de alto rendimiento con Couchbase Vector Search y Amazon Bedrock<\/span><\/a><\/li>\n<li><a href=\"https:\/\/info.couchbase.com\/webinar_Coding_With_AI_Vector_Search_RAG_2024M4_LP.html\"><span style=\"font-weight: 400;\">Codificaci\u00f3n con IA: b\u00fasqueda vectorial y RAG<\/span><\/a><span style=\"font-weight: 400;\">\u00a0(Retransmisi\u00f3n por Internet)<\/span><\/li>\n<li><a href=\"https:\/\/cloud.couchbase.com\/sign-up\"><span style=\"font-weight: 400;\">Pruebe gratis Couchbase Capella hoy mismo<\/span><\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><br style=\"font-weight: 400;\" \/><br style=\"font-weight: 400;\" \/><\/p>\n<p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>Today we\u2019re excited to announce the launch of the Couchbase and Unstructured.io connector which streamlines the process of ingesting unstructured data into your RAG pipeline built on top of Couchbase as the vector store. Using this connector, you can now [&hellip;]<\/p>\n","protected":false},"author":85541,"featured_media":16557,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1814,3917,2242,2225,9973,9921,9937],"tags":[10049,9924,10048],"ppma_author":[10050,10051],"class_list":["post-16518","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-application-design","category-company","category-connectors","category-cloud","category-generative-ai-genai","category-partners","category-vector-search","tag-data-prep","tag-rag-retrieval-augmented-generation","tag-unstructured-io"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Supercharge Your RAG application With Couchbase Vector Search and Unstructured.io - The Couchbase Blog<\/title>\n<meta name=\"description\" content=\"Announcing the Couchbase and Unstructured.io connector\u2014quickly convert unstructured data into JSON and vector embeddings for seamless integration into your RAG pipeline.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.couchbase.com\/blog\/es\/supercharge-rag-couchbase-vector-unstructured-io\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Supercharge Your RAG application With Couchbase Vector Search and Unstructured.io\" \/>\n<meta property=\"og:description\" content=\"Announcing the Couchbase and Unstructured.io connector\u2014quickly convert unstructured data into JSON and vector embeddings for seamless integration into your RAG pipeline.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/es\/supercharge-rag-couchbase-vector-unstructured-io\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-29T12:50:01+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-16T17:43:45+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/Unstructured-data-ingestion-pipeline-Diagram_3.png\" \/>\n\t<meta property=\"og:image:width\" content=\"2400\" \/>\n\t<meta property=\"og:image:height\" content=\"1256\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Vishwa Yeruru - Sr. Product Manager, Maria Khalusova - Staff Developer Advocate, Unstructured.io\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Vishwa Yeruru - Sr. Product Manager\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/supercharge-rag-couchbase-vector-unstructured-io\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/supercharge-rag-couchbase-vector-unstructured-io\\\/\"},\"author\":{\"name\":\"Vishwa Yeruru - Sr. Product Manager\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#\\\/schema\\\/person\\\/0670782b8878056390b6a256511c8858\"},\"headline\":\"Supercharge Your RAG application With Couchbase Vector Search and Unstructured.io\",\"datePublished\":\"2024-10-29T12:50:01+00:00\",\"dateModified\":\"2025-06-16T17:43:45+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/supercharge-rag-couchbase-vector-unstructured-io\\\/\"},\"wordCount\":970,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/supercharge-rag-couchbase-vector-unstructured-io\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/sites\\\/1\\\/2024\\\/10\\\/Unstructured-data-ingestion-pipeline-Diagram_3.png\",\"keywords\":[\"data prep\",\"RAG retrieval-augmented generation\",\"unstructured.io\"],\"articleSection\":[\"Application Design\",\"Company\",\"Connectors\",\"Couchbase Capella\",\"Generative AI (GenAI)\",\"Partners\",\"Vector Search\"],\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/supercharge-rag-couchbase-vector-unstructured-io\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/supercharge-rag-couchbase-vector-unstructured-io\\\/\",\"url\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/supercharge-rag-couchbase-vector-unstructured-io\\\/\",\"name\":\"Supercharge Your RAG application With Couchbase Vector Search and Unstructured.io - The Couchbase Blog\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/supercharge-rag-couchbase-vector-unstructured-io\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/supercharge-rag-couchbase-vector-unstructured-io\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/sites\\\/1\\\/2024\\\/10\\\/Unstructured-data-ingestion-pipeline-Diagram_3.png\",\"datePublished\":\"2024-10-29T12:50:01+00:00\",\"dateModified\":\"2025-06-16T17:43:45+00:00\",\"description\":\"Announcing the Couchbase and Unstructured.io connector\u2014quickly convert unstructured data into JSON and vector embeddings for seamless integration into your RAG pipeline.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/supercharge-rag-couchbase-vector-unstructured-io\\\/#breadcrumb\"},\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/supercharge-rag-couchbase-vector-unstructured-io\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/supercharge-rag-couchbase-vector-unstructured-io\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/sites\\\/1\\\/2024\\\/10\\\/Unstructured-data-ingestion-pipeline-Diagram_3.png\",\"contentUrl\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/sites\\\/1\\\/2024\\\/10\\\/Unstructured-data-ingestion-pipeline-Diagram_3.png\",\"width\":2400,\"height\":1256},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/supercharge-rag-couchbase-vector-unstructured-io\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Supercharge Your RAG application With Couchbase Vector Search and Unstructured.io\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#website\",\"url\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/\",\"name\":\"The Couchbase Blog\",\"description\":\"Couchbase, the NoSQL Database\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"es\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#organization\",\"name\":\"The Couchbase Blog\",\"url\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/2023\\\/04\\\/admin-logo.png\",\"contentUrl\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/2023\\\/04\\\/admin-logo.png\",\"width\":218,\"height\":34,\"caption\":\"The Couchbase Blog\"},\"image\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#\\\/schema\\\/logo\\\/image\\\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#\\\/schema\\\/person\\\/0670782b8878056390b6a256511c8858\",\"name\":\"Vishwa Yeruru - Sr. Product Manager\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/sites\\\/1\\\/2024\\\/10\\\/vishwa-yeruru.pnga7609300b8d22762330c56f24bc36684\",\"url\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/sites\\\/1\\\/2024\\\/10\\\/vishwa-yeruru.png\",\"contentUrl\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/sites\\\/1\\\/2024\\\/10\\\/vishwa-yeruru.png\",\"caption\":\"Vishwa Yeruru - Sr. Product Manager\"},\"url\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/es\\\/author\\\/vishwayeruru\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Supercharge Your RAG application With Couchbase Vector Search and Unstructured.io - The Couchbase Blog","description":"Anunciamos el conector de Couchbase y Unstructured.io: convierte r\u00e1pidamente datos no estructurados en JSON e incrustaciones vectoriales para una integraci\u00f3n perfecta en tu canal de RAG.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.couchbase.com\/blog\/es\/supercharge-rag-couchbase-vector-unstructured-io\/","og_locale":"es_MX","og_type":"article","og_title":"Supercharge Your RAG application With Couchbase Vector Search and Unstructured.io","og_description":"Announcing the Couchbase and Unstructured.io connector\u2014quickly convert unstructured data into JSON and vector embeddings for seamless integration into your RAG pipeline.","og_url":"https:\/\/www.couchbase.com\/blog\/es\/supercharge-rag-couchbase-vector-unstructured-io\/","og_site_name":"The Couchbase Blog","article_published_time":"2024-10-29T12:50:01+00:00","article_modified_time":"2025-06-16T17:43:45+00:00","og_image":[{"width":2400,"height":1256,"url":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/Unstructured-data-ingestion-pipeline-Diagram_3.png","type":"image\/png"}],"author":"Vishwa Yeruru - Sr. Product Manager, Maria Khalusova - Staff Developer Advocate, Unstructured.io","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Vishwa Yeruru - Sr. Product Manager","Est. reading time":"6 minutos"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.couchbase.com\/blog\/supercharge-rag-couchbase-vector-unstructured-io\/#article","isPartOf":{"@id":"https:\/\/www.couchbase.com\/blog\/supercharge-rag-couchbase-vector-unstructured-io\/"},"author":{"name":"Vishwa Yeruru - Sr. Product Manager","@id":"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/0670782b8878056390b6a256511c8858"},"headline":"Supercharge Your RAG application With Couchbase Vector Search and Unstructured.io","datePublished":"2024-10-29T12:50:01+00:00","dateModified":"2025-06-16T17:43:45+00:00","mainEntityOfPage":{"@id":"https:\/\/www.couchbase.com\/blog\/supercharge-rag-couchbase-vector-unstructured-io\/"},"wordCount":970,"commentCount":0,"publisher":{"@id":"https:\/\/www.couchbase.com\/blog\/#organization"},"image":{"@id":"https:\/\/www.couchbase.com\/blog\/supercharge-rag-couchbase-vector-unstructured-io\/#primaryimage"},"thumbnailUrl":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/Unstructured-data-ingestion-pipeline-Diagram_3.png","keywords":["data prep","RAG retrieval-augmented generation","unstructured.io"],"articleSection":["Application Design","Company","Connectors","Couchbase Capella","Generative AI (GenAI)","Partners","Vector Search"],"inLanguage":"es","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.couchbase.com\/blog\/supercharge-rag-couchbase-vector-unstructured-io\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.couchbase.com\/blog\/supercharge-rag-couchbase-vector-unstructured-io\/","url":"https:\/\/www.couchbase.com\/blog\/supercharge-rag-couchbase-vector-unstructured-io\/","name":"Supercharge Your RAG application With Couchbase Vector Search and Unstructured.io - The Couchbase Blog","isPartOf":{"@id":"https:\/\/www.couchbase.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.couchbase.com\/blog\/supercharge-rag-couchbase-vector-unstructured-io\/#primaryimage"},"image":{"@id":"https:\/\/www.couchbase.com\/blog\/supercharge-rag-couchbase-vector-unstructured-io\/#primaryimage"},"thumbnailUrl":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/Unstructured-data-ingestion-pipeline-Diagram_3.png","datePublished":"2024-10-29T12:50:01+00:00","dateModified":"2025-06-16T17:43:45+00:00","description":"Anunciamos el conector de Couchbase y Unstructured.io: convierte r\u00e1pidamente datos no estructurados en JSON e incrustaciones vectoriales para una integraci\u00f3n perfecta en tu canal de RAG.","breadcrumb":{"@id":"https:\/\/www.couchbase.com\/blog\/supercharge-rag-couchbase-vector-unstructured-io\/#breadcrumb"},"inLanguage":"es","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.couchbase.com\/blog\/supercharge-rag-couchbase-vector-unstructured-io\/"]}]},{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/www.couchbase.com\/blog\/supercharge-rag-couchbase-vector-unstructured-io\/#primaryimage","url":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/Unstructured-data-ingestion-pipeline-Diagram_3.png","contentUrl":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/Unstructured-data-ingestion-pipeline-Diagram_3.png","width":2400,"height":1256},{"@type":"BreadcrumbList","@id":"https:\/\/www.couchbase.com\/blog\/supercharge-rag-couchbase-vector-unstructured-io\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.couchbase.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Supercharge Your RAG application With Couchbase Vector Search and Unstructured.io"}]},{"@type":"WebSite","@id":"https:\/\/www.couchbase.com\/blog\/#website","url":"https:\/\/www.couchbase.com\/blog\/","name":"El blog de Couchbase","description":"Couchbase, la base de datos NoSQL","publisher":{"@id":"https:\/\/www.couchbase.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.couchbase.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"es"},{"@type":"Organization","@id":"https:\/\/www.couchbase.com\/blog\/#organization","name":"El blog de Couchbase","url":"https:\/\/www.couchbase.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/www.couchbase.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/04\/admin-logo.png","contentUrl":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/04\/admin-logo.png","width":218,"height":34,"caption":"The Couchbase Blog"},"image":{"@id":"https:\/\/www.couchbase.com\/blog\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/0670782b8878056390b6a256511c8858","name":"Vishwa Yeruru - Director de Producto Senior","image":{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/vishwa-yeruru.pnga7609300b8d22762330c56f24bc36684","url":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/vishwa-yeruru.png","contentUrl":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/vishwa-yeruru.png","caption":"Vishwa Yeruru - Sr. Product Manager"},"url":"https:\/\/www.couchbase.com\/blog\/es\/author\/vishwayeruru\/"}]}},"acf":[],"authors":[{"term_id":10050,"user_id":85541,"is_guest":0,"slug":"vishwayeruru","display_name":"Vishwa Yeruru - Sr. Product Manager","avatar_url":{"url":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/vishwa-yeruru.png","url2x":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/vishwa-yeruru.png"},"0":null,"1":"","2":"","3":"","4":"","5":"","6":"","7":"","8":""},{"term_id":10051,"user_id":85542,"is_guest":0,"slug":"mariakhalusova","display_name":"Maria Khalusova - Staff Developer Advocate, Unstructured.io","avatar_url":{"url":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/maria-khalusova.jpeg","url2x":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/maria-khalusova.jpeg"},"0":null,"1":"","2":"","3":"","4":"","5":"","6":"","7":"","8":""}],"_links":{"self":[{"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/posts\/16518","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/users\/85541"}],"replies":[{"embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/comments?post=16518"}],"version-history":[{"count":0,"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/posts\/16518\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/media\/16557"}],"wp:attachment":[{"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/media?parent=16518"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/categories?post=16518"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/tags?post=16518"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/ppma_author?post=16518"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}