How to Use GQLAlchemy Query Builder?

The blog post by Katarina Supe provides a comprehensive guide on using the GQLAlchemy query builder to efficiently create, modify, retrieve, and manage Cypher queries within the Memgraph database. It begins with instructions on setting up the necessary environment, including the installation of Docker and GQLAlchemy, due to Memgraph's compatibility requirements with Linux. The post details the creation of graph schemas using Python classes to ensure object types are correctly returned, followed by practical examples of creating nodes and relationships such as users and movies, and connecting them with relationships like "RATED." Additionally, it covers filtering techniques to refine query results, as well as methods to delete nodes and relationships or remove properties from the database. The blog also explores using the query builder to determine the most significant movie in the network based on user ratings. Throughout, readers are encouraged to experiment with Memgraph through Memgraph Lab and seek assistance or explore use cases in the Memgraph Playground or Discord community.