Knowledge graphs (KGs) are a powerful tool for representing complex relationships, with applications in recommendation systems, fraud detection, and information retrieval. They can significantly enhance Retrieval-Augmented Generation (RAG) systems, which do not require a database but can leverage knowledge graphs for better contextual information retrieval, known as GraphRAG. Despite their utility, constructing a knowledge graph can be challenging. However, with the right approach, even those who have previously failed can succeed. Knowledge graphs are not just for tech giants; 90% of enterprises could benefit from their implementation. They offer a way to manage and utilize vast amounts of data efficiently, making them an essential tool in today’s data-driven business environment.
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