New project makes Wikipedia data more accessible to AI
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最新报道：Wikimedia Deutschland launched the Wikidata Embedding Project, a vector-based semantic search system for Wikipedia's 120 million entries, enhancing AI model access via the Model Context Protocol. Developed with Jina.AI and DataStax, it supports natural language queries and retrieval-augmented generation, providing semantic context like related terms and images. The public database, available on Toolforge, addresses AI developers' need for reliable, fact-oriented data, with a webinar scheduled for October 9. Project manager Philippe Saadé highlighted its open, collaborative nature, independent of major tech firms.
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