Start Here
Begin your RelationalAI (RAI) journey by setting up a development environment.
VS Code or other IDE Jupyter NotebookBuild With RelationalAI
Follow a tutorial
Section titled “Follow a tutorial” Meet PyRel Build a small PyRel model, run Louvain community detection, and analyze customer segments.
Start from a template
Section titled “Start from a template”Kickstart your project with on of our project templates, designed to help you get up and running quickly with a real-world use case.
Simple Start
Beginner
A minimal notebook to connect to Snowflake, model a small graph, and compute betweenness centrality with RelationalAI.
Fraud Detection
Beginner
Use graph reasoning to find suspicious users based on shared identifiers and uncommon sharing patterns.
Disease Outbreak Prevention
Intermediate
Use weighted degree centrality to identify the highest-risk healthcare facilities in a public health network, considering both connection volume and intensity, to prioritize resource deployment during disease outbreaks.
Understand how PyRel works
Section titled “Understand how PyRel works”Dive deeper into PyRel with our comprehensive guides and reference materials.
Learn how to configure PyRel and customize its behavior.
Explore how to define and query semantic models using PyRel.
Enhance your model with with advanced reasoning to answer more complex questions.