The project aims to combine RDKit and Neo4j to support research in medicinal chemistry and materials sciences by integrating data from various sources, including recipe and characterization data. The integration of these tools could facilitate the joining of large amounts of complex data, enabling researchers to focus on the relationships between "things" rather than just their individual properties. This approach is based on the concept of knowledge graphs, which have proven to be versatile and effective in managing complex data. By leveraging Neo4j's graph database capabilities and RDKit's functionality for chemical analysis, the project seeks to provide a powerful toolset for researchers to efficiently process and analyze large amounts of data related to chemical research and development.