There are many facts and figures about tea that could be represented as a graph, including details about countries that commercially produce tea and information about their tea production. For each country, there are many facts and figures that could be included in a graph, such as population and geographic coordinates, and details about its tea production, including total yearly volume of tea produced, number of tea estates, etc. The graph could then break down each country into its tea producing regions, with new nodes to represent additional detail in the geographical hierarchy, such as counties or prefectures within each province, and areas, cities, or towns within each county. Tea itself is also a key part of this graph, with six main types of tea that have different production processes, and details about their recommended brewing parameters. A knowledge graph like this could be used to represent and work with a large amount of knowledge about a particular domain, such as tea, and could power search engines, make recommendations, or provide fast access to complex and highly connected information for cutting-edge technology solutions like chatbots and machine learning.