Ryan is joined by Philippe Saade, the AI project lead at Wikimedia Deutschland, to dive into the Wikidata Embedding Project and how their team vectorized 30 million of Wikidata’s 119 million entries for semantic search. They discuss how this project helped offload the burden that scraping was creating for their sites, what Wikimedia.DE is doing to maintain data integrity for their entries, and the importance of user feedback even as they work to bring Wikipedia’s vast knowledge to people building open-source AI projects.

Episode notes:

Wikimedia.DE announced the Wikidata Embedding Project with MCP support in October of last year. Check out their vector database and codebase for the project.

Connect with Philippe on LinkedIn and his Wiki page.

Today’s shoutout goes to an Unsung Hero on Stack Overflow—someone who has more than 10 accepted answers with a zero score, making up 25% of their total. Thank you to user MWB for bringing your knowledge to the community!

TRANSCRIPT

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