The Graph Data Science (GDS) library has been released in version 1.3, which leverages Neo4j 4.0.1 and 4.1 and includes enterprise features such as role-based access control and multi-database support. The library now offers over 50 unsupervised algorithms, including a preview of graph embeddings, which are learned through neural network models or linear algebra. Performance has been significantly improved, with production-quality algorithms being up to 85% faster than the deprecated Graph Algorithms library. The GDS framework provides a production-ready platform for data science at an enterprise scale, with features such as premium support, three tiers of algorithms, flexibility and expressivity, data science-focused features, and compatibility with the Neo4j product portfolio.