News and updates from the Wikimedia Enterprise team
-
As artificial intelligence continues to reshape the data landscape, the preservation and ethical development of open data has never been more mission critical. Wikimedia Enterprise is coming together with Creative Commons for a day of conversations and panel discussions at SXSW 2025 that tackles these pressing challenges head-on. Thought leaders from across the open Internet,…
-
Wikimedia Enterprise and Pleias are partnering to drive ethical AI innovation with high-quality, structured data. By integrating Wikimedia’s verifiable datasets, Pleias enhances its AI models while ensuring openness, auditability, and multilingual accuracy.
-
A Partnership for Sustainability of Knowledge and the Planet – Wikimedia Enterprise has announced an exciting new partnership with Ecosia search engine.
-
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’s dynamic content with recurring API access and improved data structures.
-
We’re releasing an early beta dataset on Hugging Face, offering structured content from English and French Wikipedia. This machine-readable dataset, derived from our Snapshot API’s new Structured Contents beta, opens up new possibilities for AI and machine learning applications.
-
Snapshot API now includes a beta Structured Contents endpoint, offering bulk access to parsed Wikipedia data for testing partners.
-
We’re excited to announce a major upgrade to our free API tier. Users now benefit from recurring monthly credits, replacing the previous lifetime limit, and enjoy twice the speed in data updates. These enhancements are designed to provide more value and flexibility to our free account holders.
-
Unlock deeper insights into Wikipedia content with Wikimedia Enterprise’s Credibility Signals. Learn how these tools provide critical context, empowering informed decisions for AI models, knowledge graphs, and beyond.
-
Discover how to leverage the Wikimedia Enterprise On-demand API to improve the contextual accuracy of open-source language models like Meta’s Llama 3. Our tutorial walks you through setting up a local RAG-based application for more accurate AI responses.
-
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.
