New project makes Wikipedia data more accessible to AI | TechCrunch

News Source : TechCrunch
News Summary
- Wikidata Deutschland announced a new database that will make Wikipedia’s wealth of knowledge more accessible to AI models.
- The system applies a vector-based semantic search to the existing data on Wikipedia and its sister platforms, consisting of nearly 120 million entries.
- Querying the database for the word “scientist,” for instance, will produce lists of prominent nuclear scientists and scientists who worked at Bell Labs.
- The new system will work better with retrieval-augmented generation (RAG) systems that allow AI models to pull in external information.
On Wednesday, Wikimedia Deutschland announced a new database that will make Wikipedias wealth of knowledge more accessible to AI models.Called the Wikidata Embedding Project, the system applies a [+2844 chars]