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Wikimedia Deutschland's AI project lead Philippe Saade discusses the Wikidata Embedding Project — a vector database built on top of Wikidata's 119 million item knowledge graph. The project embeds ~30 million items (those linked to Wikipedia pages) using Jina AI's embedding V3 model with Matryoshka embeddings at 512 dimensions, chunked at the statement level. Data is hosted on Hugging Face in Parquet format to reduce scraping load on Wikimedia servers. An MCP server was also built to help LLMs write SPARQL queries for Wikidata by using the vector database for exploration. The project is in alpha, seeking user feedback on use cases ranging from RAG applications to classification and clustering.

Even GenAI uses Wikipedia as a source