{"id":2298,"date":"2025-07-24T12:04:00","date_gmt":"2025-07-24T10:04:00","guid":{"rendered":"https:\/\/norskinteraktiv.no\/?p=2298"},"modified":"2026-02-24T12:17:13","modified_gmt":"2026-02-24T11:17:13","slug":"ai-based-knowledge-engine-for-oneco-with-vector-database-and-dynamic-rag-architecture","status":"publish","type":"post","link":"https:\/\/norskinteraktiv.no\/en\/ai-basert-kunnskapsmotor-for-oneco-med-vektordatabase-og-dynamisk-rag-arkitektur\/","title":{"rendered":"AI-based knowledge engine for OneCo with vector database and dynamic RAG architecture"},"content":{"rendered":"
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For OneCo<\/a> we have implemented an advanced AI knowledge engine combined with a dynamic RAG (Retrieval-Augmented Generation) architecture.<\/strong><\/p>\n

\"vector
For a large and complex organisation like OneCo, with many disciplines, departments and geographical units, access to the right expertise is crucial. The challenge is not a lack of knowledge but making it available at the right time, to the right person.<\/span><\/figcaption><\/figure>\n

To solve this, we have established an AI-based knowledge engine built on a vector database and a dynamic RAG architecture. This is not a traditional chatbot with predefined answers. It's a semantic search engine combined with a language model, connected to a structured and continuously updated knowledge base that reflects OneCo's organisation.<\/p>\n

What was delivered<\/h3>\n

We have set up:<\/p>\n

    \n
  • Integration with OpenAI (model: gpt-5-nano)<\/li>\n
  • Own vector database (RAG) where OneCo's data is stored securely and within the GDPR and EEA data processing agreement.<\/li>\n
  • Dynamic indexing of OneCo's business data<\/li>\n
  • Continuous updating of the knowledge base<\/li>\n
  • AI chat and internal knowledge assistant<\/li>\n<\/ul>\n

    How the solution works<\/h2>\n

    All relevant information about:<\/p>\n

      \n
    • What OneCo delivers<\/li>\n
    • Service areas (Electrical, Power, Telecom, Infrastructure, etc.)<\/li>\n
    • Projects and references<\/li>\n
    • Who to contact within different disciplines<\/li>\n
    • Organisational structure<\/li>\n<\/ul>\n

      ... is continuously indexed in a vector database.<\/p>\n

      When a user asks a question, the following happens:<\/strong><\/p>\n

        \n
      1. The question is embedded and semantically searched in the vector database<\/li>\n
      2. Only relevant text extracts are retrieved<\/li>\n
      3. These are passed on to the language model<\/li>\n
      4. AI generates a precise and contextually correct answer<\/li>\n<\/ol>\n

        This ensures that answers are always based on OneCo's actual and up-to-date content - not generic internet sources.<\/p>\n

        Dynamic and self-updating<\/h2>\n

        The solution is not static.<\/p>\n

        When:<\/p>\n

          \n
        • New projects are published<\/li>\n
        • Employees change<\/li>\n
        • Service areas are updated<\/li>\n
        • Organisational structure adjusted<\/li>\n<\/ul>\n

          ... this is automatically indexed and available to the AI assistant.<\/p>\n

          This gives OneCo a living and constantly updated knowledge engine.<\/p>\n

          Results<\/h2>\n
            \n
          • Faster access to the right contact person<\/li>\n
          • More precise answers to customers<\/li>\n
          • Better navigation in complex service offerings<\/li>\n
          • Scalable AI infrastructure directly on your own applications<\/li>\n
          • Full control over data and structure<\/li>\n<\/ul>\n

            The system is already seeing significant usage, with an average of over 300,000 tokens processed in the last 30 days, and the chat module as the most used feature.<\/p>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/section>","protected":false},"excerpt":{"rendered":"

            AI-based knowledge engine built on a vector database and a dynamic RAG architecture. This is not a traditional chatbot with predefined answers. It's a semantic search engine combined with a language model, connected to a structured and continuously updated knowledge base that reflects OneCo's organisation.<\/p>","protected":false},"author":7,"featured_media":2308,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[4,19],"tags":[],"class_list":["post-2298","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nyheter","category-referanse"],"acf":[],"_links":{"self":[{"href":"https:\/\/norskinteraktiv.no\/en\/wp-json\/wp\/v2\/posts\/2298","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/norskinteraktiv.no\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/norskinteraktiv.no\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/norskinteraktiv.no\/en\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/norskinteraktiv.no\/en\/wp-json\/wp\/v2\/comments?post=2298"}],"version-history":[{"count":4,"href":"https:\/\/norskinteraktiv.no\/en\/wp-json\/wp\/v2\/posts\/2298\/revisions"}],"predecessor-version":[{"id":2326,"href":"https:\/\/norskinteraktiv.no\/en\/wp-json\/wp\/v2\/posts\/2298\/revisions\/2326"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/norskinteraktiv.no\/en\/wp-json\/wp\/v2\/media\/2308"}],"wp:attachment":[{"href":"https:\/\/norskinteraktiv.no\/en\/wp-json\/wp\/v2\/media?parent=2298"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/norskinteraktiv.no\/en\/wp-json\/wp\/v2\/categories?post=2298"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/norskinteraktiv.no\/en\/wp-json\/wp\/v2\/tags?post=2298"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}