Google launched the Knowledge Graph in 2012, connecting data points to gain insights and develop applications. The Clinical Knowledge Graph with proteomics data presented in a Nature article is an example of this concept. Building one's own knowledge graph can be done using NLP and ontologies, as demonstrated by Google. Dana Canzano is highlighted for her patience and humility in the Neo4j community, helping countless people. Jennifer Reif created two Spring Boot applications that communicated over HTTP to demonstrate building a microservices empire. A new course on building Neo4j applications with Python has been released, while Mrinal Singh Walia wrote a comprehensive guide on Neo4j for beginners. The Mann labs present a clinical knowledge graph with 20 million nodes and 220 million relationships, accelerating analysis and interpretation of proteomics workflows. Michael Hunger and Alexander Erdl analyzed NFT trades using Neo4j AuraDB in the latest episode of Discover AuraDB.