Hello, we would like to speak with AI or ML developers, data scientists, engineers or those with experience with embeddings, LLMs, knowledge graphs, or any kind of semantic or meaning-based search.

We are arranging *30-minute interviews* to better understand:

- What do AI/ML developers need from a meaning-based search for Wikidata - Which features and filters matter most to you - How would you use the results in your AI or data workflows

*Interested?* Then please book a chat with us: https://greatquestion.co/wikimediadeutschland/sa00xu39

After completion, someone will shortly be in touch. No interview preparation is required (just your experience with AI, ML, or data workflows). While helpful, no prior knowledge of Wikidata or vector search is necessary.

("What's a Wikidata Vector Database?" I hear you say...) Play with it here: Wikidata Search https://wd-vectordb.wmcloud.org/ Read about it here: Wikidata:Embedding Project https://www.wikidata.org/wiki/Wikidata:Embedding_Project

Thank you!