graknlabs/grakn repository overview

⁠Running Grakn

⁠Without An External Volume

Go with this option for testing. Remember that no data will be saved if the instance is killed.

docker pull graknlabs/grakn:<version>
docker run -d -p 48555:48555 graknlabs/grakn:<version>

⁠With An External Volume

Go with this option to ensure that data is preserved even when the instance if killed or restarted.

docker run -d -v $(pwd)/db/:/grakn-core-all-linux/server/db/ -p 48555:48555 graknlabs/grakn:<version>

⁠Quickstart and Documentation

Grakn's documentation portal is at dev.grakn.ai⁠. The Quickstart Tutorial⁠ is a good place to start interacting and working with a knowledge graph, using a social network example.

A more extensive tutorial on migrating to Grakn can be found in the migration examples⁠. Other examples are maintaineed in graknlabs/examples⁠ repository.

⁠API and Interfaces

You have several APIs to interact with Grakn:

• Grakn Console⁠
• Workbase⁠, the visualisation software
• Grakn Clients⁠ for Java⁠, Python⁠ and Node.js⁠