Neo4j Bloom 2.3 is now available, offering a powerful combination of Graph Data Science and data visualization capabilities. Users can leverage rule-based styling to easily visualize results from algorithms such as centrality measures or community algorithms. This latest release brings together the power of Neo4j Graph Data Science Library with AuraDS users and those with Neo4j Graph Data Science setup on their databases. Existing users will receive the update automatically, while others can install it using the Graph Apps drawer or download updates for server plugin users or self-hosted applications. The update also includes features tailored to specific user needs, such as a supply chain demo showcasing how to leverage Bloom with the latest Graph Data Science integration. Users are invited to share their experiences and provide feedback to help design an experience tailored to their needs.