This document discusses using knowledge graphs to extract insights from unstructured data. It presents a data flow architecture that uses natural language processing to extract entities and relationships from social media posts and construct a knowledge graph. Graph inference algorithms like degree centrality are then used to determine popular entities. This provides actionable insights into how products are performing based on individuals' reviews on social media. The document also provides some lessons learned around knowledge graph construction and querying.