How to Save $70K Building a Knowledge Graph for RAG on 6M Wikipedia Pages

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We show how content-centric knowledge graphs – a vector-store allowing links between chunks – are an easy to use and efficient approach to improve RAG results.

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We’ve argued that content-centric knowledge graphs – a vector-store allowing links between chunks – are an easier to use and more efficient approach to improving RAG results. Here, we put that to the test.