Joined February 2019
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Discover highlights from the MediaWiki Users and Developers Conference professional.wiki/en/news/me… * Connecting #Wikibase and @SemanticMW * Simultaneous Editing * Wikimedia's Strategic Plan for #MediaWiki * New #BlueSpice Features * LLMs in wikis * And more! #MUDCon #KnowledgeManagement #MUDCon2024 #SMWCon #SemanticWikibase
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Semantic MediaWiki 7 is here 🎉 The biggest release in years: significantly faster, easier to install, and with added support for MediaWiki 1.45 and 1.46. 24 notable enhancements and 32 bug fixes. 🧵
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Get instant answers from your wiki, now with European and self-hosted AI! 🇪🇺 The AI Assistant now supports @MistralAI, Apertus, and self-hosted models. MediaWiki is a great stack for Knowledge Management with Sovereign AI. Ground AI answers in your knowledge. Link below 👇
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Our customer Kunstenpunt shares their Wikibase success story on the @WikimediaDE blog: tech-news.wikimedia.de/2026/… In this blog, Dr. Tom Ruette lists game changing Wikibase extensions, shares the story of choosing MediaWiki Wikibase, and shows off some nifty tools.
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Page Approvals is now available for MediaWiki 1.45 professional.wiki/en/extensi…
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Choose how long your wiki chatbot thinks before answering. One of several recent enhancements to our AI Assistant for MediaWiki Discover what it can do for you via 👇
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Introducing NeoWiki... and more NeoWiki is the modern open source collaborative knowledge management solution. Co-presented with @krabina. Discover NeoWiki, MediaWiki MCP, and Wikibase extensions via our recap of the MediaWiki Users and Developers Conference 👇
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You can now ask your MediaWiki questions in natural language via AI chatbots! In our latest blog post, we compare five chatbot extensions for MediaWiki. 🧵
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4) AskAI: simplest to install. You manually select wiki pages as context. OpenAI only. Good if you don't need automated retrieval.
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Increase trust in your knowledge base via approval workflows with our a new approval extension for MediaWiki. Discover what it can do for you, how it differs from existing solutions, and how it plays nicely with embedded content, like @SemanticMW queries 👇
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