Unsere Blogartikel zu Multilingualen Wissensgraphen, Terminologiemanagement und mehrsprachiger KI erscheinen auf Englisch.

  • Three Ways a Knowledge Graph Helps to Save Token Costs

    1. Prompts with precise information won’t mislead the LLM With all terms anchored in a Knowledge Graph, the LLM knows precisely what you are referring to – whether you’re prompting it with the right terms, you’re feeding parts of the graph, or both. Say you’re working with the term „cell“ in a technical project. Without…


  • One Semantic Backbone Is All You Need

    Some promote a split setup: one system for terminology, another for taxonomies or knowledge graphs … at first glance, this seems reasonable. Different teams have different tasks, and specialized tools promise specialized functionality. Should terminology management and knowledge graph management be handled in separate systems — or in one unified environment? Terminology and knowledge graphs…


  • Concept Maps or Knowledge Systems: Understanding vs. Organizing Knowledge

    Many people treat concept maps, knowledge systems, knowledge graphs as interchangeable or assume that the difference is simply one of scale, i.e. “small vs large”. That framing, however, misses the real distinction. The difference between Concept Maps and Knowledge Systems is not one of scale, but of purpose and use case: One helps us understand,…


  • Context Graphs vs. Knowledge Graphs

    What is a Context Graph? Some people on LinkedIn have been using Context Graph (CG) as a synonym for Knowledge Graph (KG). However, that’s not quite accurate. While CGs and KGs share some common traits — after all, both are graph-based structures that connect entities via typed relations and support reasoning — they serve fundamentally…


  • Product Release 07 January 2026

    Product release January 2026 – Infrastructural readiness: new Search, new API – Miscellaneous


  • Coreon: The Knowledge Powerhouse in LangOps Core

    At the heart of ESTeam’s LangOps Core, the application layer for multilingual AI, lies Coreon’s multilingual knowledge graph. While LangOps Core brings together data, AI, and human expertise into a unified language operations platform, Coreon provides the indispensable knowledge component that makes it all work.


  • Product Release 31 March 2025

    Product release March 2025 – UX improvements, JIRA connectivity and OIDC support.


  • Product Release 13 December 2024

    Authentication Revisited – PDF Export – Excel Import


  • Product Release 12 July 2024

    Performance in Large Repositories


  • Product Release 29 March 2024

    Import, Export, Fast Opening of Repositories