The Neo4j team is working on integrating their graph database with other data management systems and sources. To achieve this, they are developing a set of components called `neo4j-etl-components`, which can be used to import data from existing databases into a Neo4j instance. The tool uses Extract, Transform, Load (ETL) approaches and can handle various data integration scenarios, including importing metadata from MySQL schemas and applying default mapping rules for CSV exports. The team has developed a set of mapping rules that interpret relational database structures and constraints as equivalent graph database concepts, such as nodes and relationships. These rules are designed to be flexible and adaptable to different domain models, with the goal of enabling users to easily import their existing data into Neo4j. The `neo4j-etl` tool is now available in the Neo4j contrib repository for testing and contribution, with documentation and GitHub resources provided to facilitate its adoption.