{"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\/pt\/couchbase-vector-store-flowise\/","title":{"rendered":"Apresentando o Couchbase como um armazenamento de vetores no Flowise"},"content":{"rendered":"<p>Temos o prazer de anunciar que o Couchbase agora \u00e9 oficialmente suportado como um armazenamento vetorial no Flowise, oferecendo aos usu\u00e1rios uma solu\u00e7\u00e3o avan\u00e7ada e de alto desempenho para gerenciar e recuperar dados vetoriais. Essa nova integra\u00e7\u00e3o combina os recursos de fluxo de trabalho de IA intuitivos e sem c\u00f3digo do Flowise com o armazenamento vetorial flex\u00edvel e dimension\u00e1vel do Couchbase, facilitando mais do que nunca a cria\u00e7\u00e3o e a implanta\u00e7\u00e3o de aplicativos orientados por IA.<\/p>\n<p>O Flowise \u00e9 uma ferramenta de c\u00f3digo aberto que permite aos usu\u00e1rios criar e gerenciar fluxos de trabalho de IA com uma interface visual e sem c\u00f3digo. Ele foi projetado para simplificar a integra\u00e7\u00e3o de modelos de aprendizado de m\u00e1quina e pipelines de dados, oferecendo aos usu\u00e1rios uma maneira acess\u00edvel e eficiente de incorporar a IA em seus aplicativos sem a necessidade de codifica\u00e7\u00e3o complexa.<\/p>\n<p>Nas se\u00e7\u00f5es a seguir, exploraremos alguns detalhes dessa integra\u00e7\u00e3o.<\/p>\n<h2>Configura\u00e7\u00e3o do Flowise com o Couchbase<\/h2>\n<p>Para come\u00e7ar a usar o Flowise e o Couchbase, voc\u00ea precisar\u00e1 seguir algumas etapas simples.<\/p>\n<h3 style=\"font-size: 2em;\">Instala\u00e7\u00e3o do Flowise<\/h3>\n<p>H\u00e1 v\u00e1rias maneiras de instalar o Flowise:<\/p>\n<h4 style=\"font-size: 1.5em;\">M\u00e9todo 1: instalar o Flowise localmente usando o NPM<\/h4>\n<ol>\n<li aria-level=\"1\">Instale o 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\">Iniciar o Flowise:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">In\u00edcio do npx flowise<\/pre>\n<\/li>\n<\/ol>\n<h4 style=\"font-size: 1.5em;\">M\u00e9todo 2: Instalar o Flowise usando o Docker<\/h4>\n<p>H\u00e1 duas maneiras de implementar o Flowise com o Docker: <em>Docker Compose<\/em> ou <em>Imagem do Docker<\/em>.<\/p>\n<h5>Usando uma imagem do Docker<\/h5>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li aria-level=\"1\">Clone o reposit\u00f3rio do 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\">Navegue at\u00e9 a pasta docker na raiz do projeto:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">cd docker<\/pre>\n<\/li>\n<li aria-level=\"1\">Crie a imagem do Docker com o seguinte 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\">Depois que a imagem for criada, execute o cont\u00eainer:\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 interromper o cont\u00eainer em execu\u00e7\u00e3o:\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>Usando o Docker Compose<\/h5>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li aria-level=\"1\">Clone o reposit\u00f3rio do 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\">Navegue at\u00e9 a pasta docker na raiz do projeto:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">cd docker<\/pre>\n<\/li>\n<li aria-level=\"1\">Copie o arquivo .env.example e renomeie-o como .env\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">cp .env.example .env<\/pre>\n<\/li>\n<li aria-level=\"1\">Para iniciar os cont\u00eaineres, use o 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 desativar os cont\u00eaineres, use o seguinte comando:\n<pre style=\"border-width: 0px;\" class=\"nums:false lang:default decode:true\">parada do docker compose<\/pre>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<p>Agora que o Flowise est\u00e1 instalado, voc\u00ea pode acess\u00e1-lo navegando at\u00e9 <a href=\"https:\/\/localhost:3000\/\" target=\"_blank\" rel=\"noopener\">https:\/\/localhost:3000<\/a>.<\/p>\n<p>Como alternativa, voc\u00ea tamb\u00e9m pode usar o <a href=\"https:\/\/flowiseai.com\/join\" target=\"_blank\" rel=\"noopener\">Vers\u00e3o em nuvem do Flowise<\/a>.<\/p>\n<h3 style=\"font-size: 2em;\">Inser\u00e7\u00e3o ascendente no Couchbase e execu\u00e7\u00e3o de uma consulta<\/h3>\n<p>Agora que o Flowise e o Couchbase est\u00e3o integrados, voc\u00ea pode fazer o upsert de dados no Couchbase e realizar pesquisas vetoriais. Neste blog, mostraremos como fazer o upsert de um arquivo PDF no Couchbase usando o Flowise.<\/p>\n<h4 style=\"font-size: 1.5em; padding-left: 40px;\">1. Inserir dados no Couchbase<\/h4>\n<p style=\"padding-left: 40px;\">Para inserir dados no Couchbase, arraste e conecte os seguintes n\u00f3s na tela do 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>Arquivo PDF<\/strong>: Fa\u00e7a upload de seu documento (por exemplo, Couchbase-docs.pdf)<\/li>\n<li aria-level=\"1\"><strong>Divisor de texto de caracteres recursivo<\/strong>: Divide o texto em partes (por exemplo, tamanho: 1000, sobreposi\u00e7\u00e3o: 200)<\/li>\n<li aria-level=\"1\"><strong>Embeddings da OpenAI<\/strong>: Converte texto em embeddings de vetor (por exemplo, text-embedding-3-large)<\/li>\n<li aria-level=\"1\"><strong>Couchbase<\/strong>: Armazena documentos e incorpora\u00e7\u00f5es no bucket, no escopo e na cole\u00e7\u00e3o especificados. N\u00e3o se esque\u00e7a de adicionar o \u00edndice do vetor!<\/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;\">Agora que os dados est\u00e3o armazenados, podemos consult\u00e1-los usando a seguinte configura\u00e7\u00e3o do Flowise!<\/p>\n<h4 style=\"font-size: 1.5em; padding-left: 40px;\">2. Comece a consultar!<\/h4>\n<p style=\"padding-left: 40px;\">Para consultar dados do Couchbase, arraste e conecte os seguintes n\u00f3s na tela do 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 do Couchbase<\/strong>: Obt\u00e9m peda\u00e7os de documentos relevantes usando pesquisa vetorial.<\/li>\n<li aria-level=\"1\"><strong>ChatOpenAI<\/strong>: Processa o contexto recuperado e gera respostas (por exemplo, GPT-4o).<\/li>\n<li aria-level=\"1\"><strong>Cadeia de controle de qualidade da recupera\u00e7\u00e3o de conversa\u00e7\u00e3o<\/strong>: Lida com intera\u00e7\u00f5es de v\u00e1rios turnos, garantindo respostas precisas e contextuais.<\/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>Agora, o pipeline do RAG est\u00e1 pronto para responder a consultas usando o conhecimento armazenado!<\/p>\n<h2>Conclus\u00e3o<\/h2>\n<p>Essa integra\u00e7\u00e3o permite a consulta cont\u00ednua do conhecimento armazenado usando o armazenamento vetorial de alto desempenho do Couchbase e os recursos da ferramenta de baixo c\u00f3digo do Flowise. Ao aproveitar os embeddings, a recupera\u00e7\u00e3o e as respostas baseadas em IA, voc\u00ea pode criar aplicativos inteligentes e dimension\u00e1veis com facilidade. Independentemente de estar trabalhando em pesquisa sem\u00e2ntica, aplicativos de trapo ou outros casos de uso orientados por IA, essa configura\u00e7\u00e3o garante efici\u00eancia e precis\u00e3o.<\/p>\n<h2>Pr\u00f3ximas etapas<\/h2>\n<p>Mais informa\u00e7\u00f5es est\u00e3o dispon\u00edveis em <a href=\"https:\/\/docs.flowiseai.com\/\" target=\"_blank\" rel=\"noopener\">Documenta\u00e7\u00e3o do Flowise AI<\/a>incluindo um guia de integra\u00e7\u00e3o para <a href=\"https:\/\/docs.flowiseai.com\/integrations\/langchain\/vector-stores\/couchbase\" target=\"_blank\" rel=\"noopener\">Couchbase<\/a>.<\/p>\n<p>Boa codifica\u00e7\u00e3o!<\/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 v26.1 (Yoast SEO v26.1.1) - 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\/pt\/couchbase-vector-store-flowise\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\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\/pt\/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\":\"pt-BR\",\"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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