{"id":28254,"date":"2025-07-03T09:58:32","date_gmt":"2025-07-03T07:58:32","guid":{"rendered":"https:\/\/tinextadefence.it\/?p=28254"},"modified":"2025-07-03T09:58:32","modified_gmt":"2025-07-03T07:58:32","slug":"ai4cyber-retrieval-augmented-generation-rag-for-local-and-secure-document-consultation","status":"publish","type":"post","link":"https:\/\/tinextadefence.it\/en\/ai4cyber-retrieval-augmented-generation-rag-for-local-and-secure-document-consultation\/","title":{"rendered":"AI4Cyber: Retrieval Augmented Generation (RAG) for local and secure document consultation"},"content":{"rendered":"<p><span data-contrast=\"auto\">In recent years, the introduction of <\/span><b><span data-contrast=\"auto\">Large Language Model<\/span><\/b><span data-contrast=\"auto\"> (LLM) has revolutionised the approach to document analysis and management, making it possible to process increasingly relevant and contextual transactions. However, the use of these technologies brings with it significant challenges in terms of privacy, security and data control.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Against this backdrop is the<\/span><span data-contrast=\"none\">he new study <\/span><b><span data-contrast=\"none\">AI4Cyber<\/span><\/b><span data-contrast=\"none\">which presents the development of a system capable of querying business documents via the<\/span><b><span data-contrast=\"none\">RAG approach<\/span><\/b><span data-contrast=\"none\"> (Retrieval Augmented Generation), capable of<\/span><span data-contrast=\"auto\"> combine the power of LLMs with the ability to extract information from relevant textual sources<\/span><span data-contrast=\"none\">.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">The solution presented in the study employs Large Language Model (LLM) running locally, with the aim of offering a <\/span><b><span data-contrast=\"none\">private AI assistant<\/span><\/b><span data-contrast=\"none\"> that guarantees the confidentiality, integrity and availability of the data processed.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">The model that showed a better trade-off between efficiency and accuracy is Phi4, chosen after several comparative tests with Llama 3.1 and Mistral. An intuitive user interface and the ability to manage not only structured and unstructured documents, but also scanned documents thanks to the integration of the<\/span><b><span data-contrast=\"none\">OCR<\/span><\/b><span data-contrast=\"none\">making the system versatile and easily adaptable to companies' operational needs.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">If you wish to learn more, here is the link to our <\/span><a href=\"https:\/\/tinextadefence.it\/wp-content\/uploads\/2025\/07\/Report_AI4Cyber.pdf\"><b><span data-contrast=\"none\">studio<\/span><\/b><b><span data-contrast=\"none\"> complete<\/span><\/b><\/a><span data-contrast=\"none\">.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">In addition, you can subscribe to the specific mailing list <\/span><b><span data-contrast=\"none\">Cyber Studios by Tinexta Defence<\/span><\/b><span data-contrast=\"none\">, to receive updates on upcoming research:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/tinextadefence.it\/en\/cyber-studios-mailing-list\/\"><span data-contrast=\"none\">https:\/\/tinextadefence.it\/mailing-list-cyber-studios\/<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>In recent years, the introduction of Large Language Models (LLM) has revolutionised the approach to document analysis and management, making it possible to process increasingly relevant and contextualised operations. However, the use of these technologies brings with it significant challenges in terms of privacy, security and data control.  This is the background to the new AI4Cyber study, which presents [...]<\/p>","protected":false},"author":7,"featured_media":28249,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[102],"tags":[],"class_list":["post-28254","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tinextadefencebusiness"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI4Cyber: Retrieval Augmented Generation (RAG) per la consultazione locale e sicura di documenti - Tinexta Defence<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/tinextadefence.it\/en\/ai4cyber-retrieval-augmented-generation-rag-for-local-and-secure-document-consultation\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI4Cyber: Retrieval Augmented Generation (RAG) per la consultazione locale e sicura di documenti - Tinexta Defence\" \/>\n<meta property=\"og:description\" content=\"Negli ultimi anni, l\u2019introduzione dei Large Language Model (LLM) ha rivoluzionato l\u2019approccio all\u2019analisi e alla gestione documentale, rendendo possibile l\u2019elaborazione di operazioni sempre pi\u00f9 pertinenti e contestuali. Tuttavia, l\u2019utilizzo di queste tecnologie comporta sfide rilevanti in termini di privacy, sicurezza e controllo dei dati.\u00a0 In questo scenario si colloca il nuovo studio AI4Cyber, che presenta [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/tinextadefence.it\/en\/ai4cyber-retrieval-augmented-generation-rag-for-local-and-secure-document-consultation\/\" \/>\n<meta property=\"og:site_name\" content=\"Tinexta Defence\" \/>\n<meta property=\"article:published_time\" content=\"2025-07-03T07:58:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/tinextadefence.it\/wp-content\/uploads\/2025\/07\/Business_evidenza.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1800\" \/>\n\t<meta property=\"og:image:height\" content=\"960\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Federica Casadei\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Federica Casadei\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/tinextadefence.it\/ai4cyber-retrieval-augmented-generation-rag-per-la-consultazione-locale-e-sicura-di-documenti\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/tinextadefence.it\/ai4cyber-retrieval-augmented-generation-rag-per-la-consultazione-locale-e-sicura-di-documenti\/\"},\"author\":{\"name\":\"Federica Casadei\",\"@id\":\"https:\/\/tinextadefence.it\/#\/schema\/person\/0dc89f3eeaa8cd7b7c354b61c84d164d\"},\"headline\":\"AI4Cyber: Retrieval Augmented Generation (RAG) per la consultazione locale e sicura di documenti\",\"datePublished\":\"2025-07-03T07:58:32+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/tinextadefence.it\/ai4cyber-retrieval-augmented-generation-rag-per-la-consultazione-locale-e-sicura-di-documenti\/\"},\"wordCount\":240,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/tinextadefence.it\/#organization\"},\"image\":{\"@id\":\"https:\/\/tinextadefence.it\/ai4cyber-retrieval-augmented-generation-rag-per-la-consultazione-locale-e-sicura-di-documenti\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/tinextadefence.it\/wp-content\/uploads\/2025\/07\/Business_evidenza.jpg\",\"articleSection\":[\"#TDefenceBusiness\"],\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/tinextadefence.it\/ai4cyber-retrieval-augmented-generation-rag-per-la-consultazione-locale-e-sicura-di-documenti\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/tinextadefence.it\/ai4cyber-retrieval-augmented-generation-rag-per-la-consultazione-locale-e-sicura-di-documenti\/\",\"url\":\"https:\/\/tinextadefence.it\/ai4cyber-retrieval-augmented-generation-rag-per-la-consultazione-locale-e-sicura-di-documenti\/\",\"name\":\"AI4Cyber: Retrieval Augmented Generation (RAG) per la consultazione locale e sicura di documenti - 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