{"id":30082,"date":"2026-01-29T13:06:46","date_gmt":"2026-01-29T12:06:46","guid":{"rendered":"https:\/\/tinextadefence.it\/?p=30082"},"modified":"2026-01-29T13:06:46","modified_gmt":"2026-01-29T12:06:46","slug":"augmented-retrieval-generation-rag-for-local-and-secure-document-consultation-a-pipeline-for-data-standardisation-and-semantic-scoring","status":"publish","type":"post","link":"https:\/\/tinextadefence.it\/en\/augmented-retrieval-generation-rag-for-local-and-secure-document-consultation-a-pipeline-for-data-standardisation-and-semantic-scoring\/","title":{"rendered":"Retrieval Augmented Generation (RAG) for local and secure document retrieval: a pipeline for data standardisation and semantic scoring"},"content":{"rendered":"<p><span data-contrast=\"none\">The increasing digitisation of information processes has made text data a central yet complex resource to be exploited. Heterogeneous documents such as CVs, reports and e-mails, characterised by high linguistic and semantic variability, still pose considerable challenges to automated systems in terms of data extraction, semantic comparison and integration into decision-making processes.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:257}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">The new study\u00a0<\/span><b><span data-contrast=\"none\">AI4Cyber<\/span><\/b><span data-contrast=\"none\">\u00a0analyses an approach that employs Large Language Models (LLM) for the semantic structuring of information. It proposes a pipeline capable of transforming unstructured documents into formal representations and introduces semantic comparison and scoring mechanisms to assess the relevance of information, ensuring control, transparency and reproducibility in local and secure environments.<\/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;:278}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Looking forward, this analysis proposes the evolution towards models with more advanced reasoning capabilities and adaptive processes supported by human feedback, strengthening the role of LLM in building structured and reliable knowledge bases.<\/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;:278}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">If you wish to learn more, here is the link to our\u00a0<\/span><a href=\"https:\/\/tinextadefence.it\/wp-content\/uploads\/2026\/01\/260129-AI4Cyber-Retrieval-Augmented-Generation.pdf\"><b><span data-contrast=\"none\">comprehensive study<\/span><\/b><\/a><span data-contrast=\"none\">.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\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;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\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><\/p>","protected":false},"excerpt":{"rendered":"<p>La crescente digitalizzazione dei processi informativi ha reso i dati testuali una risorsa centrale, ma complessa da valorizzare. Documenti eterogenei come curriculum vitae, report ed e-mail, caratterizzati da un\u2019elevata variabilit\u00e0 linguistica e semantica, pongono ancora oggi sfide rilevanti ai sistemi automatici in termini di estrazione dei dati, comparazione semantica e integrazione nei processi decisionali.\u00a0 Il [&hellip;]<\/p>","protected":false},"author":7,"featured_media":30080,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[102],"tags":[],"class_list":["post-30082","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>Retrieval Augmented Generation (RAG) per la consultazione locale e sicura di documenti: una pipeline per la standardizzazione dei dati e lo scoring semantico - 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\/augmented-retrieval-generation-rag-for-local-and-secure-document-consultation-a-pipeline-for-data-standardisation-and-semantic-scoring\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Retrieval Augmented Generation (RAG) per la consultazione locale e sicura di documenti: una pipeline per la standardizzazione dei dati e lo scoring semantico - Tinexta Defence\" \/>\n<meta property=\"og:description\" content=\"La crescente digitalizzazione dei processi informativi ha reso i dati testuali una risorsa centrale, ma complessa da valorizzare. Documenti eterogenei come curriculum vitae, report ed e-mail, caratterizzati da un\u2019elevata variabilit\u00e0 linguistica e semantica, pongono ancora oggi sfide rilevanti ai sistemi automatici in termini di estrazione dei dati, comparazione semantica e integrazione nei processi decisionali.\u00a0 Il [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/tinextadefence.it\/en\/augmented-retrieval-generation-rag-for-local-and-secure-document-consultation-a-pipeline-for-data-standardisation-and-semantic-scoring\/\" \/>\n<meta property=\"og:site_name\" content=\"Tinexta Defence\" \/>\n<meta property=\"article:published_time\" content=\"2026-01-29T12:06:46+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/tinextadefence.it\/wp-content\/uploads\/2026\/01\/Business_evidenza-3.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\/retrieval-augmented-generation-rag-per-la-consultazione-locale-e-sicura-di-documenti-una-pipeline-per-la-standardizzazione-dei-dati-e-lo-scoring-semantico\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/tinextadefence.it\/retrieval-augmented-generation-rag-per-la-consultazione-locale-e-sicura-di-documenti-una-pipeline-per-la-standardizzazione-dei-dati-e-lo-scoring-semantico\/\"},\"author\":{\"name\":\"Federica Casadei\",\"@id\":\"https:\/\/tinextadefence.it\/#\/schema\/person\/0dc89f3eeaa8cd7b7c354b61c84d164d\"},\"headline\":\"Retrieval Augmented Generation (RAG) per la consultazione locale e sicura di documenti: una pipeline per la standardizzazione dei dati e lo scoring semantico\",\"datePublished\":\"2026-01-29T12:06:46+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/tinextadefence.it\/retrieval-augmented-generation-rag-per-la-consultazione-locale-e-sicura-di-documenti-una-pipeline-per-la-standardizzazione-dei-dati-e-lo-scoring-semantico\/\"},\"wordCount\":203,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/tinextadefence.it\/#organization\"},\"image\":{\"@id\":\"https:\/\/tinextadefence.it\/retrieval-augmented-generation-rag-per-la-consultazione-locale-e-sicura-di-documenti-una-pipeline-per-la-standardizzazione-dei-dati-e-lo-scoring-semantico\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/tinextadefence.it\/wp-content\/uploads\/2026\/01\/Business_evidenza-3.jpg\",\"articleSection\":[\"#TinextaDefenceBusiness\"],\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/tinextadefence.it\/retrieval-augmented-generation-rag-per-la-consultazione-locale-e-sicura-di-documenti-una-pipeline-per-la-standardizzazione-dei-dati-e-lo-scoring-semantico\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/tinextadefence.it\/retrieval-augmented-generation-rag-per-la-consultazione-locale-e-sicura-di-documenti-una-pipeline-per-la-standardizzazione-dei-dati-e-lo-scoring-semantico\/\",\"url\":\"https:\/\/tinextadefence.it\/retrieval-augmented-generation-rag-per-la-consultazione-locale-e-sicura-di-documenti-una-pipeline-per-la-standardizzazione-dei-dati-e-lo-scoring-semantico\/\",\"name\":\"Retrieval Augmented Generation (RAG) per la consultazione locale e sicura di documenti: una pipeline per la standardizzazione dei dati e lo scoring semantico - 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