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Advancements in Knowledge Graphs and Vector Databases
This chapter explores the potential of knowledge graphs and their value in solving fuzzy relations using embeddings. It discusses the advantages of vector databases over traditional graph databases and highlights the need for more formal representations of knowledge. The chapter also touches on the integration of micro data, language models, and the importance of reducing the cost and maintenance of knowledge graphs.