Easy Data Ingestion With Neo4j Runway and arrows.app

Neo4j Runway is a Python library developed with Jason Booth and Dan Bukowski at Neo4j, which provides tools for abstracting communication with OpenAI to run discovery on data and generate a data model. The library also includes modules for generating ingestion code and loading data into a Neo4j instance. To install, simply run the pip command `pip install neo4j-runway`. Runway uses Graphviz to visualize data models and requires a Neo4j instance to use fully. It can automatically write ingestion code for your Neo4j graph and load your data into a Neo4j instance. The library is still in beta, but it simplifies the user experience of understanding how relational data fits into a graph data model and allows users to explore quickly. Runway's key features include data discovery, graph data modeling, code generation, data ingestion, and visualization using Graphviz.