On Wednesday, Wikimedia Deutschland announced a new database that will make Wikipedia’s wealth of knowledge more accessible to AI models. Called the Wikidata Embedding Project, the system applies a vector-based semantic search — a technique that helps computers understand the meaning and relationships between words — to the existing data on Wikipedia and its sister platforms, consisting of nearly 120 million entries. Combined with new support for the Model Context Protocol (MCP), a standard that...