This week, the Neo4j community has been actively engaged with several exciting developments. Anurag Tandon shared his expertise on Near Natural Language Search in Bloom, a graph visualization tool, and introduced its search capabilities, including basic search terms, search phrases, and pattern-based search. Additionally, David Allen announced the release of Neo4j Enterprise Causal Clustering on Pivotal Container Service (PKS), making it easier to spin up a clustered, highly available graph database on top of Kubernetes. The community has also been exploring the use of Siren, an investigative intelligence platform, with Neo4j, and Dave Fauth is starting a series of posts connecting Neo4j, MySQL, and Kafka. Furthermore, Dr. Vlasta Kus, a data scientist at GraphAware, was featured as this week's community member, sharing her expertise on graph-based machine learning and presenting talks on AI and NLP at GraphTour Chicago. The community is also working on new releases of the Graph Algorithms Library, introducing procedures to compute memory requirements, fine-grained control over concurrency settings, and usability and bug fixes.