The project’s aim is to enhance the search functionality of Wikidata by integrating vector-based semantic search.

The Wikidata Embedding Project is an initiative led by Wikimedia Deutschland in collaboration with Jina.AI and DataStax. The project’s aim is to enhance the search functionality of Wikidata by integrating vector-based semantic search. By leveraging advanced machine learning models and scalable vector databases, the project seeks to support the open-source community in developing innovative AI applications and using Wikidata's multilingual and inclusive knowledge graph, while making its extensive data more accessible and contextually relevant for users across the globe.