Tutorials

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

Cypher tutorial

If you’re just getting started with CypherDB, we recommend starting with our introductory tutorial on Cypher, the query language used in CypherDB.

Intro to Cypher Become familiar with Cypher syntax

Python

For Python developers, see the following tutorials.

Intro tutorial

Python tutorial Tutorial for CypherDB's Python API

Colab notebooks

We’ve compiled a series of Google Colab notebooks that demonstrate how CypherDB can be used and integrated with the Python data science, machine learning and AI ecosystem.

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

CypherDB and PyTorch Geometric (1) Node property prediction

CypherDB and PyTorch Geometric (2) Link prediction

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

LangChain-CypherDB Integration Using CypherDB as a property graph store for LangChain

Rust

For Rust developers, see the following tutorials.

Rust tutorial Tutorial for CypherDB's Rust API