The ISO committee has published a new standard for Graph Query Language (GQL) in Database Languages, marking graph databases as mainstream alongside traditional databases. This release benefits developers by avoiding the need to learn new technologies while working on multiple projects and products. Various articles cover topics such as GraphRAG on Google Cloud, comparing graph structures, building Knowledge Graphs, and the importance of relationships in graph theory. The Neo4j community is also involved with a research panel, upcoming events, tutorials, and featured community members. Additionally, there are resources for getting started with graphs, including Cypher Indexes and Constraints, a Neo4j Integration for Haystack, and articles on GQL, Knowledge Graphs, and relationships in graph theory.