Tutorials

In this section, we link to some learning resources to become more familiar with Kùzu’s usability features, Cypher and its integration with the Python data science and machine learning ecosystem.

Getting started with Kùzu

If you’re new to graph databases and Cypher, we recommend getting started with our introductory video playlist that covers the basics of Cypher and how to get started with Kùzu. Click on the link below to watch one of the videos, and subscribe to our YouTube channel for more such content.

Python notebooks

For Python users, we’ve compiled a series of notebooks on Google Colab that demonstrate how Kùzu can be used and integrated with the Python data science and machine learning ecosystem. Click on the links below to open and run the notebooks.

Intro to Cypher Become familiar with Cypher syntax

Kùzu and NetworkX Working with NetworkX & graph algorithms using a Kùzu graph

Kùzu and PyTorch Geometric (1) Node property prediction

Kùzu and PyTorch Geometric (2) Link prediction

LlamaIndex-Kùzu Integration Using Kùzu as a property graph store for LlamaIndex