{"id":17104,"date":"2025-05-12T11:45:27","date_gmt":"2025-05-12T18:45:27","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=17104"},"modified":"2025-06-13T16:36:05","modified_gmt":"2025-06-13T23:36:05","slug":"couchbase-vector-store-flowise","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/couchbase-vector-store-flowise\/","title":{"rendered":"Presentaci\u00f3n de Couchbase como almac\u00e9n vectorial en Flowise"},"content":{"rendered":"<p>Nos complace anunciar que Couchbase es ahora oficialmente compatible como un almac\u00e9n de vectores en Flowise, proporcionando a los usuarios una soluci\u00f3n potente y de alto rendimiento para la gesti\u00f3n y recuperaci\u00f3n de datos vectoriales. Esta nueva integraci\u00f3n combina las capacidades de flujo de trabajo de IA intuitivas y sin c\u00f3digo de Flowise con el almacenamiento vectorial escalable y flexible de Couchbase, lo que facilita m\u00e1s que nunca la creaci\u00f3n y el despliegue de aplicaciones impulsadas por IA.<\/p>\n<p>Flowise es una herramienta de c\u00f3digo abierto que permite a los usuarios crear y gestionar flujos de trabajo de IA con una interfaz visual sin c\u00f3digo. Est\u00e1 dise\u00f1ada para simplificar la integraci\u00f3n de modelos de aprendizaje autom\u00e1tico y canalizaciones de datos, ofreciendo a los usuarios una forma accesible y eficiente de incorporar la IA a sus aplicaciones sin necesidad de una codificaci\u00f3n compleja.<\/p>\n<p>En las secciones siguientes exploraremos algunos detalles de esta integraci\u00f3n.<\/p>\n<h2>Configuraci\u00f3n de Flowise con Couchbase<\/h2>\n<p>Para empezar a utilizar Flowise y Couchbase, tendr\u00e1s que seguir unos sencillos pasos.<\/p>\n<h3 style=\"font-size: 2em;\">Instalaci\u00f3n de Flowise<\/h3>\n<p>Hay varias formas de instalar Flowise:<\/p>\n<h4 style=\"font-size: 1.5em;\">M\u00e9todo 1: Instalar Flowise localmente usando NPM<\/h4>\n<ol>\n<li aria-level=\"1\">Instale Flowise globalmente:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">npm install -g flowise<\/pre>\n<\/li>\n<li aria-level=\"1\">Inicia Flowise:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">npx flowise start<\/pre>\n<\/li>\n<\/ol>\n<h4 style=\"font-size: 1.5em;\">M\u00e9todo 2: Instalar Flowise utilizando Docker<\/h4>\n<p>Hay dos maneras de desplegar Flowise con Docker: <em>Docker Compose<\/em> o <em>Imagen Docker<\/em>.<\/p>\n<h5>Uso de una imagen Docker<\/h5>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li aria-level=\"1\">Clone el repositorio Flowise localmente:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">git clone https:\/\/github.com\/FlowiseAI\/Flowise.git<\/pre>\n<\/li>\n<li aria-level=\"1\">Navega a la carpeta docker en la ra\u00edz del proyecto:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">cd docker<\/pre>\n<\/li>\n<li aria-level=\"1\">Construya la imagen Docker con el siguiente comando:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">docker build --no-cache -t flowise .<\/pre>\n<\/li>\n<li aria-level=\"1\">Una vez creada la imagen, ejecute el contenedor:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">docker run -d --name flowise -p 3000:3000 flowise<\/pre>\n<\/li>\n<li aria-level=\"1\">Para detener el contenedor en ejecuci\u00f3n:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">docker stop flowise<\/pre>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<h5>Uso de Docker Compose<\/h5>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li aria-level=\"1\">Clone el repositorio Flowise localmente:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">git clone https:\/\/github.com\/FlowiseAI\/Flowise.git<\/pre>\n<\/li>\n<li aria-level=\"1\">Navega a la carpeta docker en la ra\u00edz del proyecto:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">cd docker<\/pre>\n<\/li>\n<li aria-level=\"1\">Copie el archivo .env.example y ren\u00f3mbrelo como .env\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">cp .env.ejemplo .env<\/pre>\n<\/li>\n<li aria-level=\"1\">Para iniciar los contenedores, utilice Docker Compose:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">docker compose up -d<\/pre>\n<\/li>\n<li aria-level=\"1\">Para bajar los contenedores, utilice el siguiente comando:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">docker compose stop<\/pre>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<p>Ahora que tiene Flowise instalado, puede acceder a \u00e9l navegando a <a href=\"https:\/\/localhost:3000\/\" target=\"_blank\" rel=\"noopener\">https:\/\/localhost:3000<\/a>.<\/p>\n<p>Tambi\u00e9n puede utilizar la funci\u00f3n <a href=\"https:\/\/flowiseai.com\/join\" target=\"_blank\" rel=\"noopener\">Versi\u00f3n Flowise Cloud<\/a>.<\/p>\n<h3 style=\"font-size: 2em;\">Subinserci\u00f3n en Couchbase y ejecuci\u00f3n de una consulta<\/h3>\n<p>Ahora que Flowise y Couchbase est\u00e1n integrados, puedes insertar datos en Couchbase y realizar b\u00fasquedas vectoriales. En este blog, le mostraremos c\u00f3mo upsert un archivo PDF en Couchbase usando Flowise.<\/p>\n<h4 style=\"font-size: 1.5em; padding-left: 40px;\">1. Insertar datos en Couchbase<\/h4>\n<p style=\"padding-left: 40px;\">Para insertar datos en Couchbase, arrastre y conecte los siguientes nodos en el lienzo Flowise:<\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li aria-level=\"1\"><strong>Archivo PDF<\/strong>: Cargue su documento (por ejemplo, Couchbase-docs.pdf)<\/li>\n<li aria-level=\"1\"><strong>Divisor de texto de caracteres recursivos<\/strong>: Divide el texto en trozos (por ejemplo, tama\u00f1o: 1000, solapamiento: 200)<\/li>\n<li aria-level=\"1\"><strong>Incrustaciones de OpenAI<\/strong>: Convierte texto en incrustaciones vectoriales (por ejemplo, text-embedding-3-large)<\/li>\n<li aria-level=\"1\"><strong>Couchbase<\/strong>: Almacena documentos e incrustaciones en el cubo, \u00e1mbito y colecci\u00f3n especificados. No olvides a\u00f1adir el \u00edndice vectorial.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-17105\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/couchbase-flowise-canvas-1024x838.png\" alt=\"\" width=\"900\" height=\"737\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/couchbase-flowise-canvas-1024x838.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/couchbase-flowise-canvas-300x246.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/couchbase-flowise-canvas-768x629.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/couchbase-flowise-canvas-1536x1257.png 1536w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/couchbase-flowise-canvas-1320x1081.png 1320w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/couchbase-flowise-canvas.png 1864w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/p>\n<p style=\"padding-left: 40px;\">Ahora que los datos est\u00e1n almacenados, podemos consultarlos utilizando la siguiente configuraci\u00f3n de Flowise.<\/p>\n<h4 style=\"font-size: 1.5em; padding-left: 40px;\">2. Comience a consultar.<\/h4>\n<p style=\"padding-left: 40px;\">Para consultar datos de Couchbase, arrastre y conecte los siguientes nodos en el lienzo de Flowise:<\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li aria-level=\"1\"><strong>Recuperador Couchbase<\/strong>: Obtiene trozos de documentos relevantes mediante b\u00fasqueda vectorial.<\/li>\n<li aria-level=\"1\"><strong>ChatOpenAI<\/strong>: Procesa el contexto recuperado y genera respuestas (por ejemplo, GPT-4o).<\/li>\n<li aria-level=\"1\"><strong>Cadena de control de calidad de la recuperaci\u00f3n conversacional<\/strong>: Maneja interacciones multiturno, garantizando respuestas precisas y contextuales.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-17106\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/openai-llm-embedding-flowise-couchbase-1024x572.png\" alt=\"\" width=\"900\" height=\"503\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/openai-llm-embedding-flowise-couchbase-1024x572.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/openai-llm-embedding-flowise-couchbase-300x168.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/openai-llm-embedding-flowise-couchbase-768x429.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/openai-llm-embedding-flowise-couchbase-1536x858.png 1536w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/openai-llm-embedding-flowise-couchbase-1320x738.png 1320w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/openai-llm-embedding-flowise-couchbase.png 1999w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/p>\n<p>Ahora, la canalizaci\u00f3n RAG est\u00e1 lista para responder a consultas utilizando el conocimiento almacenado.<\/p>\n<h2>Conclusi\u00f3n<\/h2>\n<p>Esta integraci\u00f3n permite consultar sin problemas el conocimiento almacenado utilizando el almacenamiento vectorial de alto rendimiento de Couchbase y las capacidades de las herramientas de bajo c\u00f3digo de Flowise. Al aprovechar las incrustaciones, la recuperaci\u00f3n y las respuestas impulsadas por IA, puedes crear aplicaciones escalables e inteligentes con facilidad. Tanto si trabajas en b\u00fasqueda sem\u00e1ntica, aplicaciones de trapo u otros casos de uso impulsados por IA, esta configuraci\u00f3n garantiza eficiencia y precisi\u00f3n.<\/p>\n<h2>Pr\u00f3ximos pasos<\/h2>\n<p>M\u00e1s informaci\u00f3n en <a href=\"https:\/\/docs.flowiseai.com\/\" target=\"_blank\" rel=\"noopener\">Documentaci\u00f3n de Flowise AI<\/a>que incluye una gu\u00eda de integraci\u00f3n de <a href=\"https:\/\/docs.flowiseai.com\/integrations\/langchain\/vector-stores\/couchbase\" target=\"_blank\" rel=\"noopener\">Couchbase<\/a>.<\/p>\n<p>\u00a1Feliz codificaci\u00f3n!<\/p>","protected":false},"excerpt":{"rendered":"<p>We\u2019re excited to announce that Couchbase is now officially supported as a vector store in Flowise, providing users with a powerful, high-performance solution for managing and retrieving vector data. This new integration combines Flowise&#8217;s intuitive, no-code AI workflow capabilities with [&hellip;]<\/p>","protected":false},"author":85563,"featured_media":17115,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[10123,10122,1815,2225,1816,9973,9937],"tags":[9923,9870,9964,9924],"ppma_author":[10077],"class_list":["post-17104","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agentic-ai-apps","category-artificial-intelligence-ai","category-best-practices-and-tutorials","category-cloud","category-couchbase-server","category-generative-ai-genai","category-vector-search","tag-embeddings","tag-llms","tag-openai","tag-rag-retrieval-augmented-generation"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.2 (Yoast SEO v26.2) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Introducing Couchbase as a Vector Store in Flowise - The Couchbase Blog<\/title>\n<meta name=\"description\" content=\"Integrate Couchbase as a high-performance vector store in Flowise. Upsert data, run vector searches, and build AI applications with this no-code solution.\" \/>\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\/couchbase-vector-store-flowise\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Introducing Couchbase as a Vector Store in Flowise\" \/>\n<meta property=\"og:description\" content=\"Integrate Couchbase as a high-performance vector store in Flowise. Upsert data, run vector searches, and build AI applications with this no-code solution.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/es\/couchbase-vector-store-flowise\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2025-05-12T18:45:27+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-13T23:36:05+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/blog-flow-nature-1024x536.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"536\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Prajwal Pai, Software Engineer\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Prajwal Pai, Software Engineer\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-vector-store-flowise\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-vector-store-flowise\/\"},\"author\":{\"name\":\"Prajwal Pai, Software Engineer\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/9df7ff32949c9dbdda540fc8f0f2c883\"},\"headline\":\"Introducing Couchbase as a Vector Store in Flowise\",\"datePublished\":\"2025-05-12T18:45:27+00:00\",\"dateModified\":\"2025-06-13T23:36:05+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-vector-store-flowise\/\"},\"wordCount\":564,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-vector-store-flowise\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/blog-flow-nature.png\",\"keywords\":[\"embeddings\",\"LLMs\",\"openai\",\"RAG retrieval-augmented generation\"],\"articleSection\":[\"Agentic AI Applications\",\"Artificial Intelligence (AI)\",\"Best Practices and Tutorials\",\"Couchbase Capella\",\"Couchbase Server\",\"Generative AI (GenAI)\",\"Vector Search\"],\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.couchbase.com\/blog\/couchbase-vector-store-flowise\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-vector-store-flowise\/\",\"url\":\"https:\/\/www.couchbase.com\/blog\/couchbase-vector-store-flowise\/\",\"name\":\"Introducing Couchbase as a Vector Store in Flowise - The Couchbase Blog\",\"isPartOf\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-vector-store-flowise\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-vector-store-flowise\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/05\/blog-flow-nature.png\",\"datePublished\":\"2025-05-12T18:45:27+00:00\",\"dateModified\":\"2025-06-13T23:36:05+00:00\",\"description\":\"Integrate Couchbase as a high-performance vector store in Flowise. 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