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Grakn AI - Learning Session

Shubham Aggarwal
Shubham Aggarwal

Grakn is a database for AI that uses a graph structure to understand relationships within data. It supports Java, Python and JavaScript APIs and can scale up and down without downtime. The main components are the Grakn database engine, which models complex data, and the Graql query language. An ontology in Grakn defines four types - entities, relations, roles, and resources - to structure data.

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Grakn AI Shubham A. 爐 爐 爐 爛爐劇 爐 爐爐爐爐むぞ
Agenda What is Grakn Components Internal Storage Query Language Analytics Example
Grakn AI Database for AI Works on Message Passing within the Graph nodes Understand relationships Full-text Search Elastic Throughput - Read and writes are linear
Tech Platform Supports Java, Python and JS APIs Scale up/down without downtime Uses Cassandra, Kafka & Zookeeper Possible to use HBase, Hadoop, Spark
Components Grakn DB Engine to model complex databases - understands context Graql The knowledge-oriented graph query language
Grakn AI - Learning Session
F O U R T Y P E S IN AN ONTOLOGY entity: Represents an objects or thing, for example: person, man, woman. relation: Represents relationships between things, for example, a parent-child relationship between two person entities. role: Describes the participation ofentitiesin arelation. For example, in amarriagerelation, there are roles ofhusbandandwife, respectively. resource: Represents the properties associated with anentityor arelation, for example, a name or date. Resources consist of primitive types and values, such as strings or integers.
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Grakn AI - Learning Session
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Grakn AI - Learning Session

  • 1. Grakn AI Shubham A. 爐 爐 爐 爛爐劇 爐 爐爐爐爐むぞ
  • 2. Agenda What is Grakn Components Internal Storage Query Language Analytics Example
  • 3. Grakn AI Database for AI Works on Message Passing within the Graph nodes Understand relationships Full-text Search Elastic Throughput - Read and writes are linear
  • 4. Tech Platform Supports Java, Python and JS APIs Scale up/down without downtime Uses Cassandra, Kafka & Zookeeper Possible to use HBase, Hadoop, Spark
  • 5. Components Grakn DB Engine to model complex databases - understands context Graql The knowledge-oriented graph query language
  • 7. F O U R T Y P E S IN AN ONTOLOGY entity: Represents an objects or thing, for example: person, man, woman. relation: Represents relationships between things, for example, a parent-child relationship between two person entities. role: Describes the participation ofentitiesin arelation. For example, in amarriagerelation, there are roles ofhusbandandwife, respectively. resource: Represents the properties associated with anentityor arelation, for example, a name or date. Resources consist of primitive types and values, such as strings or integers.