<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Wikimedia Enterprise Blog</title><description>News, product updates, engineering tutorials, and partner stories from the Wikimedia Enterprise team.</description><link>https://enterprise.wikimedia.com/</link><item><title>GNOMI Partners with Wikimedia Enterprise to Bring Trusted Human Knowledge to Its AI News Agent</title><link>https://enterprise.wikimedia.com/blog/gnomi-partners-with-wikimedia-enterprise/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/gnomi-partners-with-wikimedia-enterprise/</guid><description>GNOMI is partnering with Wikimedia Enterprise, using the On-demand and Snapshots APIs to ground its AI News Agent in structured, multilingual, regularly updated knowledge from Wikimedia projects.</description><pubDate>Tue, 07 Jul 2026 16:20:46 GMT</pubDate><category>Announcements</category><category>partner</category></item><item><title>SimPPL Uses Wikimedia Enterprise to Map Online Conversations and Fact-Check Social Media</title><link>https://enterprise.wikimedia.com/blog/how-simppl-fact-checks-social-media/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/how-simppl-fact-checks-social-media/</guid><description>SimPPL uses Wikimedia Enterprise APIs to ground its social media fact-checking pipeline and surface real-time context for Wikipedia editors. SimPPL monitors the information ecosystem by indexing posts receiving 100 billion views a month across 9 social media platforms. To turn this mountain of text into verifiable intelligence, SimPPL cross-references social media claims against the structured data provided by Wikimedia Enterprise.</description><pubDate>Tue, 16 Jun 2026 15:57:00 GMT</pubDate><category>Insights</category></item><item><title>Free API accounts now get more requests and free Structured Contents Snapshots</title><link>https://enterprise.wikimedia.com/blog/enhanced-free-api/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/enhanced-free-api/</guid><description>Free Wikimedia Enterprise accounts just got bigger. You now get 50,000 On-demand API requests a month, 30 monthly Snapshot requests, and free access to Structured Contents Snapshots. Existing accounts are upgraded automatically.</description><pubDate>Tue, 02 Jun 2026 16:17:41 GMT</pubDate><category>Releases</category><category>ondemand</category><category>snapshot</category></item><item><title>How Databricks Parsed Wikipedia to Markdown with Python</title><link>https://enterprise.wikimedia.com/blog/how-databricks-parsed-wikipedia-to-markdown-with-python/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/how-databricks-parsed-wikipedia-to-markdown-with-python/</guid><description>How Databricks used Structured Contents and Apache Spark to convert millions of Wikipedia articles to Markdown at scale, skipping regex-heavy wikitext parsing.</description><pubDate>Tue, 26 May 2026 15:45:00 GMT</pubDate><category>Insights</category></item><item><title>How CivicLens Uses Wikidata APIs to Make Civic Data More Accessible</title><link>https://enterprise.wikimedia.com/blog/how-civiclens-uses-wikidata-apis/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/how-civiclens-uses-wikidata-apis/</guid><description>Ryland Hale wanted to make it easier for people to see what their politicians are actually doing. His project, CivicLens, pulls from sources like Congress.gov, LegiScan, the FEC, and Wikipedia to show voters exactly who represents them and how they vote.</description><pubDate>Tue, 28 Apr 2026 12:55:00 GMT</pubDate><category>Insights</category></item><item><title>Article Images and Lists now in Structured Contents payloads</title><link>https://enterprise.wikimedia.com/blog/structured-contents-article-images-and-lists/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/structured-contents-article-images-and-lists/</guid><description>Structured Contents endpoints now parse and return article images and lists as structured JSON, directly within each section of a Wikimedia project article. Both features are available today in the On-demand API and Snapshot API.</description><pubDate>Thu, 09 Apr 2026 12:32:44 GMT</pubDate><category>Releases</category><category>ondemand</category><category>snapshot</category><category>structured-contents</category></item><item><title>Wikidata APIs from Wikimedia Enterprise: Connect to the World&apos;s Knowledge Graph</title><link>https://enterprise.wikimedia.com/blog/wikidata-api-endpoints-wikimedia-enterprise/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/wikidata-api-endpoints-wikimedia-enterprise/</guid><description>Wikidata API endpoints are now part of Wikimedia Enterprise&apos;s On-demand and Realtime APIs. Use your existing access token to query structured entity data, multilingual labels, and cross-language article links alongside Wikipedia and other Wikimedia project data.</description><pubDate>Tue, 31 Mar 2026 14:30:00 GMT</pubDate><category>Releases</category><category>ondemand</category><category>realtime</category><category>wikidata</category></item><item><title>Aligned AI is developing Ethical AI products for families, with the help of Wikimedia Enterprise</title><link>https://enterprise.wikimedia.com/blog/aligned-ai-is-developing-ethical-ai/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/aligned-ai-is-developing-ethical-ai/</guid><description>Aligned AI utilizes the Wikimedia Enterprise Snapshot API to download and host comprehensive datasets from Wikimedia projects directly on their devices. This allows people to use Aligned&apos;s offline search tool while still finding relevant Wikipedia articles to read and learn from.</description><pubDate>Tue, 24 Mar 2026 14:05:10 GMT</pubDate><category>Announcements</category><category>partner</category></item><item><title>Firecrawl Replaces Wikipedia Scraping with Wikimedia Enterprise APIs</title><link>https://enterprise.wikimedia.com/blog/firecrawl-replaces-wikipedia-scraping-with-enterprise-apis/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/firecrawl-replaces-wikipedia-scraping-with-enterprise-apis/</guid><description>Firecrawl has partnered with Wikimedia Enterprise to support the millions of monthly requests their users make to retrieve Wikimedia project data. With Firecrawl aiming to become the main infrastructure layer between web data and AI, getting Wikimedia data in any format for agentic workflows becomes as easy as a single request.</description><pubDate>Tue, 17 Mar 2026 15:10:00 GMT</pubDate><category>Announcements</category><category>partner</category></item><item><title>Ecosia Enriches Search Results and AI Answers with Wikimedia Enterprise</title><link>https://enterprise.wikimedia.com/blog/ecosia-enriches-search-results-and-ai-answers/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/ecosia-enriches-search-results-and-ai-answers/</guid><description>Ecosia, the search engine that uses 100% of its profits for the planet, provides a search experience with a positive environmental impact. Ecosia is conscious about its data sources: it aims to provide search functionality that provides clear and truthful results quickly, with links to sources and correct attribution. That&apos;s why Ecosia partnered with Wikimedia Enterprise last year to continue providing its users with knowledge from trusted sources of information, curated and maintained by a thriving community of Wikimedians. Let&apos;s dive into how Ecosia implemented knowledge panels, attributes its sources, and is improving search with AI.</description><pubDate>Mon, 16 Feb 2026 16:42:29 GMT</pubDate><category>Insights</category><category>partner</category></item><item><title>Wikimedia Enterprise at Stanford Human-Centered Artificial Intelligence Seminar</title><link>https://enterprise.wikimedia.com/blog/event-stanford-human-centered-ai/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/event-stanford-human-centered-ai/</guid><description>This seminar saw over 220 attendees, both in-person and online, for this talk exploring how the Wikimedia Foundation can stay human-centric while also innovating alongside current developments in AI.</description><pubDate>Thu, 29 Jan 2026 18:36:58 GMT</pubDate><category>Events</category><category>events</category></item><item><title>Mistral AI partners with Wikimedia Enterprise to Leverage Open Knowledge for AI</title><link>https://enterprise.wikimedia.com/blog/mistral-ai-partners-with-wikimedia-enterprise/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/mistral-ai-partners-with-wikimedia-enterprise/</guid><description>Mistral AI and Wikimedia Enterprise are excited to announce the start of a three-year partnership. Data from Wikipedia and other Wikimedia projects is indispensable as a source of knowledge for Mistral&apos;s AI projects, such as its AI assistant Le Chat.</description><pubDate>Tue, 27 Jan 2026 08:58:48 GMT</pubDate><category>Announcements</category><category>partner</category></item><item><title>Announcing New Wikimedia Enterprise Partners for Wikipedia&apos;s 25th Birthday</title><link>https://enterprise.wikimedia.com/blog/wikipedia-25-enterprise-partners/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/wikipedia-25-enterprise-partners/</guid><description>Wikipedia celebrates 25 years of human-created knowledge on 15 January 2026. To mark this milestone, Wikimedia Enterprise is publicly announcing partnerships with Amazon, Meta, Microsoft, Mistral AI, and Perplexity. Learn how our infrastructure delivers human-governed knowledge at scale.</description><pubDate>Thu, 15 Jan 2026 08:45:00 GMT</pubDate><category>Announcements</category><category>partner</category></item><item><title>2025 Year in Review: Wikimedia Enterprise &amp; The Evolution of Open Data</title><link>https://enterprise.wikimedia.com/blog/2025-api-wrap-up/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/2025-api-wrap-up/</guid><description>Read our full annual wrap-up to explore how 2025 marked a fundamental shift in open knowledge. From Wikipedia&apos;s recognition as a Digital Public Good to the launch of Parsed Tables and Quality Scoring models, discover how we are helping developers build a sustainable future for ethical data with Wikimedia Enterprise.</description><pubDate>Mon, 15 Dec 2025 14:00:00 GMT</pubDate><category>Announcements</category><category>eoy</category></item><item><title>Reef Media uses Wikimedia Enterprise Snapshot API to Fact Check and Verify Sources</title><link>https://enterprise.wikimedia.com/blog/reef-media-ai/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/reef-media-ai/</guid><description>Reef Media is building a comprehensive platform to help users analyze media for its strengths and weaknesses, creating a more informed public. One of the key datasets underpinning their technical strategy is a robust, verifiable data source: Wikimedia data extracted through the Wikimedia Enterprise Snapshot API.</description><pubDate>Wed, 05 Nov 2025 14:00:00 GMT</pubDate><category>Announcements</category><category>partner</category></item><item><title>Wikimedia Enterprise at NeurIPS – Events, Talks, and Recaps</title><link>https://enterprise.wikimedia.com/blog/neurips-event/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/neurips-event/</guid><description>Learn about the intersection between generative AI data and open, trusted datasets in the talks by Wikimedia Enterprise, MLCommons, and the AI Alliance at NeurIPS.</description><pubDate>Fri, 17 Oct 2025 06:28:54 GMT</pubDate><category>Events</category><category>events</category></item><item><title>Unlock Wikipedia Tables as Structured JSON: Introducing Parsed Tables in Wikimedia Enterprise</title><link>https://enterprise.wikimedia.com/blog/parsed-wikipedia-tables/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/parsed-wikipedia-tables/</guid><description>Access Wikipedia&apos;s most valuable tables as structured JSON with the new Parsed Tables feature from Wikimedia Enterprise. Instantly convert complex tables into clean, machine-readable data without scraping. Enhance your AI, search, and knowledge graph projects with reliable, human-curated facts that were previously locked away in HTML and wikitext.</description><pubDate>Wed, 10 Sep 2025 16:00:00 GMT</pubDate><category>Releases</category><category>ondemand</category><category>snapshot</category><category>structured-contents</category></item><item><title>Nomic AI&apos;s NOMAD Projection uses Enterprise Datasets to Visually Map Multilingual Wikipedia</title><link>https://enterprise.wikimedia.com/blog/nomic-ai-nomad-projection-maps-wikipedia/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/nomic-ai-nomad-projection-maps-wikipedia/</guid><description>Nomic AI used Wikimedia Enterprise&apos;s Structured Contents dataset, via Hugging Face, to build the first full open-source vectorization of multilingual Wikipedia. Their work highlights how structured open data can accelerate AI research, improve model performance, and enable new forms of data visualization.</description><pubDate>Thu, 19 Jun 2025 14:00:00 GMT</pubDate><category>Announcements</category><category>partner</category></item><item><title>Wikipedia Kaggle Dataset using Structured Contents Snapshot</title><link>https://enterprise.wikimedia.com/blog/kaggle-dataset/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/kaggle-dataset/</guid><description>Explore Wikipedia content in a clean, structured format with our new beta dataset on Kaggle. Built from our Snapshot API using the Structured Contents beta, it&apos;s ideal for data science, ML training, and experimentation.</description><pubDate>Wed, 16 Apr 2025 17:00:00 GMT</pubDate><category>Releases</category><category>structured-contents</category></item><item><title>Wikimedia Enterprise Partners with ProRata.ai to Champion Sustainable Search Engine Practices</title><link>https://enterprise.wikimedia.com/blog/prorata-ai-and-wikimedia-enterprise-partner/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/prorata-ai-and-wikimedia-enterprise-partner/</guid><description>Wikimedia Enterprise is partnering with ProRata.ai to power its new search engine, Gist.ai, with reliable, human-curated Wikimedia content. The collaboration supports a sustainable content ecosystem through transparent attribution and API-driven innovation - ensuring creators are credited and content remains discoverable in the AI era.</description><pubDate>Mon, 31 Mar 2025 14:00:00 GMT</pubDate><category>Announcements</category><category>partner</category></item><item><title>Parsing Wikipedia References with Quality Scoring Models</title><link>https://enterprise.wikimedia.com/blog/parsed-references-with-scoring-models/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/parsed-references-with-scoring-models/</guid><description>The latest API release boosts Wikipedia data integration with parsed references in JSON and two quality scoring models – Reference Need and Reference Risk. These enhancements streamline citation access and improve content reliability for developers.</description><pubDate>Wed, 19 Mar 2025 21:45:51 GMT</pubDate><category>Releases</category><category>ondemand</category><category>snapshot</category><category>structured-contents</category><category>credibility-signals</category></item><item><title>Exploring the Future of Open Access and AI at SXSW 2025</title><link>https://enterprise.wikimedia.com/blog/sxsw-2025/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/sxsw-2025/</guid><description>Wikimedia Enterprise joined Creative Commons at SXSW 2025 on March 9th in downtown Austin for a day of insightful conversations and panels exploring the intersection of artificial intelligence and open data. The discussions emphasized the critical importance of protecting and ethically advancing open access principles amidst rapid technological growth.</description><pubDate>Thu, 20 Feb 2025 02:10:10 GMT</pubDate><category>Events</category><category>events</category></item><item><title>Wikimedia Enterprise &amp; Pleias Partner for Ethical AI Innovation</title><link>https://enterprise.wikimedia.com/blog/pleias-and-wikimedia-enterprise-partner/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/pleias-and-wikimedia-enterprise-partner/</guid><description>Wikimedia Enterprise and Pleias are partnering to drive ethical AI innovation with high-quality, structured data. By integrating Wikimedia&apos;s verifiable datasets, Pleias enhances its AI models while ensuring openness, auditability, and multilingual accuracy.</description><pubDate>Tue, 18 Feb 2025 14:00:00 GMT</pubDate><category>Announcements</category><category>partner</category></item><item><title>Ecosia and Wikimedia Enterprise Partner to Drive Sustainable Search Innovation</title><link>https://enterprise.wikimedia.com/blog/ecosia-and-wikimedia-enterprise-partner/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/ecosia-and-wikimedia-enterprise-partner/</guid><description>A Partnership for Sustainability of Knowledge and the Planet - Wikimedia Enterprise has announced an exciting new partnership with Ecosia search engine.</description><pubDate>Tue, 11 Feb 2025 16:18:32 GMT</pubDate><category>Announcements</category><category>partner</category></item><item><title>2024 Wikimedia Enterprise API Milestones &amp; Wikipedia&apos;s Evolving Data Landscape</title><link>https://enterprise.wikimedia.com/blog/2024-api-wrap-up/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/2024-api-wrap-up/</guid><description>Discover how Wikimedia Enterprise APIs transformed in 2024 with parsed article sections, an AI focus, and greater free access. Learn about our enhanced developer tools and how to leverage Wikipedia&apos;s dynamic content with recurring API access and improved data structures.</description><pubDate>Mon, 23 Dec 2024 19:36:24 GMT</pubDate><category>Announcements</category><category>eoy</category></item><item><title>Wikipedia Structured Contents Dataset on Hugging Face</title><link>https://enterprise.wikimedia.com/blog/hugging-face-dataset/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/hugging-face-dataset/</guid><description>The Wikipedia Structured Contents dataset on Hugging Face gives you English and French Wikipedia as parsed JSON, with revision, editor, and license metadata attached to every article.</description><pubDate>Thu, 19 Sep 2024 18:17:04 GMT</pubDate><category>Releases</category><category>structured-contents</category><category>snapshot</category></item><item><title>Structured Contents extends to Snapshot API</title><link>https://enterprise.wikimedia.com/blog/structured-contents-snapshot-api/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/structured-contents-snapshot-api/</guid><description>Snapshot API now includes a beta Structured Contents endpoint, offering bulk access to parsed Wikipedia data for testing partners.</description><pubDate>Thu, 19 Sep 2024 18:16:16 GMT</pubDate><category>Releases</category><category>snapshot</category><category>structured-contents</category></item><item><title>Understanding Credibility Signals in Wikimedia Enterprise API</title><link>https://enterprise.wikimedia.com/blog/understanding-credibility-signals-in-wikimedia-enterprise-api/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/understanding-credibility-signals-in-wikimedia-enterprise-api/</guid><description>Unlock deeper insights into Wikipedia content with Wikimedia Enterprise&apos;s Credibility Signals. Learn how these tools provide critical context, empowering informed decisions for AI models, knowledge graphs, and beyond.</description><pubDate>Fri, 16 Aug 2024 01:47:57 GMT</pubDate><category>Insights</category><category>credibility-signals</category></item><item><title>Build a RAG-based LLM application using Wikimedia Enterprise API to improve accuracy of Llama3</title><link>https://enterprise.wikimedia.com/blog/build-rag-llm-wikimedia-enterprise-api/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/build-rag-llm-wikimedia-enterprise-api/</guid><description>Discover how to leverage the Wikimedia Enterprise On-demand API to improve the contextual accuracy of open-source language models like Meta&apos;s Llama 3. Our tutorial walks you through setting up a local RAG-based application for more accurate AI responses.</description><pubDate>Thu, 25 Jul 2024 21:45:41 GMT</pubDate><category>Tutorials</category></item><item><title>Build a Knowledge Panel with Structured Wikipedia API</title><link>https://enterprise.wikimedia.com/blog/build-a-knowledge-panel/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/build-a-knowledge-panel/</guid><description>In this engineering tutorial, we show a simple way to build a working knowledge panel pulling pre-parsed content from Wikipedia articles using Wikimedia Enterprise API Structured Contents endpoint.</description><pubDate>Tue, 25 Jun 2024 15:00:00 GMT</pubDate><category>Tutorials</category><category>ondemand</category><category>structured-contents</category></item><item><title>Realtime Streaming Updates: Parallel Connections and Restart Support</title><link>https://enterprise.wikimedia.com/blog/realtime-api-parallel-connections-restart-support/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/realtime-api-parallel-connections-restart-support/</guid><description>Wikimedia Enterprise Realtime API has two new significant features: Parallel Connections and Restart support, to help streamline ingesting over one million daily events across all supported projects.</description><pubDate>Mon, 10 Jun 2024 13:00:00 GMT</pubDate><category>Releases</category><category>realtime</category></item><item><title>More Data with every Article Revision and Probability of Revert</title><link>https://enterprise.wikimedia.com/blog/more-version-data-and-revert-risk/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/more-version-data-and-revert-risk/</guid><description>Our APIs have been updated with new metadata about every article edit along with a Probability of Revert helping you make more informed decisions. The Version object has some impressive updates we&apos;re excited to show you.</description><pubDate>Tue, 14 May 2024 14:00:00 GMT</pubDate><category>Releases</category><category>credibility-signals</category></item><item><title>Parsed Article Sections and Short Descriptions</title><link>https://enterprise.wikimedia.com/blog/article-sections-and-description/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/article-sections-and-description/</guid><description>We&apos;ve expanded the data available in our On-demand Structured Contents endpoint by introducing two significant features: Article Body Sections and short Descriptions.</description><pubDate>Tue, 30 Apr 2024 23:58:45 GMT</pubDate><category>Releases</category><category>ondemand</category><category>structured-contents</category></item><item><title>Wikipedia API Parsed Infobox. Introducing Structured Contents</title><link>https://enterprise.wikimedia.com/blog/structured-contents-wikipedia-infobox/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/structured-contents-wikipedia-infobox/</guid><description>We&apos;ve heard all your requests for a more machine-readable API for Wikimedia data. We are announcing a new Structured Contents endpoint with the fully parsed contents of Wikipedia article Infoboxes in JSON! Jump into the article to read about it and get started.</description><pubDate>Fri, 15 Sep 2023 20:20:59 GMT</pubDate><category>Releases</category><category>ondemand</category><category>structured-contents</category></item><item><title>New API Features in Wikimedia Enterprise for Spring 2023</title><link>https://enterprise.wikimedia.com/blog/new-api-features-april-2023/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/new-api-features-april-2023/</guid><description>We&apos;d like to introduce you to some new features and quality of life improvements now available in Wikimedia Enterprise APIs. Article Summaries, Credibility Signals, Realtime API enhancements, Filtering, and more. This April update is feature-packed and live now.</description><pubDate>Thu, 20 Apr 2023 13:00:00 GMT</pubDate><category>Releases</category><category>ondemand</category><category>realtime</category><category>snapshot</category></item><item><title>Hello World, From Wikimedia Enterprise</title><link>https://enterprise.wikimedia.com/blog/hello-world/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/hello-world/</guid><description>We launched Wikimedia Enterprise last year with a goal of making it easy to programmatically access data from across the Wikimedia Foundation projects. Since then, we have been busy building a product that can serve the needs of commercial users of any size. Today, we are thrilled to share some of the first customers using this product, in addition to new features that make it easy for anyone to start using Wikimedia Enterprise.</description><pubDate>Tue, 21 Jun 2022 15:55:00 GMT</pubDate><category>Announcements</category></item></channel></rss>