The webinar covered the basics of graph databases, specifically Neo4j, a popular open-source graph database. The discussion touched on various topics such as data representation, relationships between nodes, traversal methods, and performance considerations. Attendees asked questions about keys and values, best practices for programming with Neo4j, and how to work with large datasets. The webinar also highlighted the limitations of traditional relational databases compared to graph databases, which offer a more flexible and scalable way to store and query complex data.