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RAG Repo

DBpedia turns Wikipedia's semi-structured content into a proper knowledge graph. The project extracts facts from infoboxes, categories, and links, then publishes them as RDF triples: each fact is a small statement of the form subject, predicate, object, such as "Berlin, capital of, Germany". This lets you treat encyclopaedic knowledge as data you can query rather than pages you have to read.

You can explore the data live through a SPARQL endpoint, a query language designed for knowledge graphs, or download bulk dumps to host your own copy. Because DBpedia follows Wikipedia's structure across many languages, it offers wide, general-purpose coverage and links out to other datasets in the linked open data world.

For RAG, DBpedia works well as a source of structured facts and entity relationships to sit beside your text. It predates and complements Wikidata, and the two are often used together when you want both breadth and reliable identifiers.

knowledge-graphstructuredwikipediardfsparqlmultilingual

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