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A Hyper-Relational Database for Knowledge-Oriented System

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GRAKN.AI


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AI systems process knowledge that is too complex for current databases. Grakn is a hyper-relational database for knowledge-oriented systems. Grakn enables machines to manage complex data that serves as a knowledge base for cognitive/AI systems. Graql is Grakn's Reasoning (through OLTP) and Analytics (through OLAP) Query Language. Graql is a much higher level abstraction over traditional query language - SQL, NoSQL, or Graphs.

Copyright (C) 2016-2017 Grakn Labs Limited.

Licensing

This product includes software developed by Grakn Labs. It's released under the GNU GENERAL PUBLIC LICENSE, Version 3, 29 June 2007. For licence information, please see LICENCE.txt.

Useful links

GRAKN.AI - our website.

Grakn Documentation Portal - includes API reference documentation, set up guide, basic tutorials and troubleshooting information.

Grakn on Github - the repository for our source code. Find out how to build it from the documentation download page.

Grakn Community - a useful page with links to various communication channels such as Slack and our Discussion boards.

Contribute To Grakn - Contributions are very welcome! The section contains information which covers the contribution process to Grakn.

System Requirements

Operating System: Unix based systems (Linux and Mac OS X)

Running Grakn requires:

  • Oracle Java 8 (Standard Edition) with the $JAVA_HOME set accordingly

Compiling Grakn from source requires:

  • Maven 3
  • nodejs
  • yarn installed and configured correctly

You should be able to install packages global for your user via npm without needing sudo).

Disclaimer

We don't claim Grakn will change your life, though it may improve it: we'll leave that for you to decide. But if you lose a billion dollars or a limb while using Grakn, that's not our fault. We reserve the right to do the absolute minimum provided by law, up to and including nothing.

This is basically the same disclaimer that comes with all software packages, but it is in plain English. Thanks for your understanding.

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