The speaker discussed the basics of Neo4j, a graph database, and its use cases. They introduced common pain points that relational databases face and how Neo4j addresses them. The speaker then demonstrated the Neo4j Web interface, which allows users to query and visualize data in an interactive way. They used the Northwind example to show how to transform a relational model into a graph model and import data using Cypher, Neo4j's query language. The speaker answered questions from the audience, covering topics such as indexing, data modeling, spatial functionality, certification programs, and enterprise pricing models. They also discussed the limitations of Neo4j in handling binary data and the need for manual lucene indexes for full-text search. Throughout the presentation, the speaker emphasized the benefits of using a graph database like Neo4j for storing and querying complex relationships between data entities.