Neo4j recently hosted a gathering in San Francisco to discuss the latest developments and applications of graph databases, including GenAI. The platform is also exploring graph exploration from the MEAN stack, transforming unstructured data into structured data, and analyzing ransomware payments. Additionally, Neo4j has launched a user research panel where participants can share their experiences with the product and influence future development. Upcoming events include Neo4j Live: Graph-Powered Code Debugging with GenAI, conferences in Sydney and Wisconsin Dells, meetups in Melbourne and Sydney, and the NODES 2024 conference. Featured community members include Sharmistha Chatterjee, who will speak at NODES 2024 about the role of knowledge graphs in mental health diagnosis, and Andreas Kollegger, who summarized a recent gathering of GenAI experts discussing topics such as RAG to GraphRAG and graph agent with auto-gen. The platform is also highlighting its capabilities for transforming unstructured data into structured data using SemSpect and introducing Triplex, an innovative new model that exceeds the performance of GPT-4o at knowledge graph construction for less than one-tenth the cost.