This repository includes examples that showcase usage of Grakn Clients in reading from and writing to a Grakn knowledge graph.

Grakn officially supports clients for Java, Node.js and Python. Learn more about Grakn Clients.

• Phone Calls: Migrate and perform expressive queries using Client Java

• Phone Calls: Migrate and perform expressive queries using Client Node.js

• Tube Network: Migrate and perform analytical queries on the London tube network
• Phone Calls: Migrate and perform expressive queries using Client Python

• Java: CSV | JSON | XML
• Node.js: CSV | JSON | XML
• Python: CSV | JSON | XML

• Python: JSON

• Java
• Node.js
• Python

• Python: statistical | shortest path | centrality

BioGrakn is a collection of knowledge graphs of biomedical data.

BioGrakn provides an intuitive way to query interconnected and heterogeneous biomedical data in one single place. The schema that models the underlying knowledge graph alongside the descriptive query language, Graql, makes writing complex queries an extremely straightforward and intuitive process. Furthermore, the automated reasoning capability of Grakn, allows BioGrakn to become an intelligent database of biomedical data that infers implicit knowledge based on the explicitly stored data. BioGrakn can understand biological facts, infer based on new findings and enforce research constraints, all at query (run) time.

• Phone Calls
• Tube Network
• Social Network