The author, who is familiar with Neo4j, discusses the importance of reviewing lessons learned prior to starting a new project. He notes that most lesson learned databases go unused due to difficulties in searching and reviewing the data. To overcome this issue, he uses topic modeling and graph databases to create an efficient search engine for his database. The author models his graph on a whiteboard, creates nodes for the data, establishes relationships between them, and adds labels to the nodes based on their relevance. He then uses Linkurious, a web-based interface, to visualize the data and allow users to search and connect lessons based on their criteria. This approach enables users to explore the data in ways that traditional keyword searches cannot, providing a more effective search experience and reducing time spent searching for answers. The author believes that using graph databases like Neo4j, combined with tools like R/RStudio and Linkurious, can provide excellent analytical and visual representations of large document repositories.