This week's edition of the Neo4j Newsletter covers various topics including modeling provenance data in Neo4j and techniques for de-duplicating ingredients in the BBC Good Food Graph. Featured community member Ray Lukas, an Architect Advisor at CVS Health, shares his passion for connected data and creating customized training materials on Neo4j development. Stefan Bieliauskas shows how to model provenance data using Neo4j, while Lju Lazarevic discusses techniques for de-duplicating ingredients in the BBC Good Food Graph. Additionally, there are updates on GRANDstack starter templates, ObservableHQ notebooks, and a revamped Neo4j Developer guides. The newsletter also highlights an interview with David Meza, Chief Knowledge Architect at NASA, about his work building the lessons learned graph, and features a tweet of the week from Janos Szendi-Varga showcasing a live demo during a Neo4j meetup in Budapest.