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GraphRAG represents an innovative approach to powering Retrieval-Augmented Generation (RAG) applications, enabling organizations to extract unprecedented value from their complex datasets. However, unlike the relatively straightforward process of embedding and vectorizing data that most organizations use, constructing a graph requires additional effort and cost. This article provides a practical example to help you estimate the costs associated with building your own graph.