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Getting Started with GraphDB

  • What is GraphDB?
  • How to install GraphDB
  • Working with Workbench

Managing Repositories

  • Overview of repositories
  • Creating and editing repositories
  • Configuring a repository
  • Connecting to remote locations and data sources
  • Using plugins
  • Inferencing
  • Data storage
  • Monitoring and terminating queries and update requests
  • Accessing relational databases with data virtualization
  • Federation from multiple SPARQL endpoints with FedX
  • Graph replacement optimization
  • Managing repositories and locations via the GraphDB REST API

Loading and exploring data

  • Loading data
  • Updating data with SPARQL templates
  • Exploring your data
  • SPARQL queries
  • SPARQL plugins
  • Visualize and explore
  • GraphQL
  • GraphQL schemas and endpoint management
  • Semantic similarity searches
  • Querying GPT models
  • Talk to Your Graph
  • Graph path search
  • Reasoning
  • Exporting data

Working with connectors

  • Connecting to external components and services
  • General full-text search with the Connectors
  • Lucene GraphDB Connector
  • Solr GraphDB Connector
  • Elasticsearch GraphDB Connector
  • OpenSearch GraphDB Connector
  • Kafka GraphDB Connector
  • Kafka Sink Connector
  • ChatGPT Retrieval GraphDB Connector
  • MongoDB integration
  • Text mining plugin
  • Embedding model configuration for vector search

Working with clusters

  • Overview of clusters
  • Creating and managing a cluster
  • Cluster states and election procedures
  • Using a cluster
  • Multi-region cluster deployments

Administration

  • Setting up your license
  • Security
  • Backup and restore
  • Monitoring and troubleshooting
  • Docker and Helm
  • Configuring GraphDB memory
  • Performance optimizations
    • Data loading and index optimizations
    • Query optimizations
    • Inference optimizations
  • Administration via HTTP with curl
  • Migrating GraphDB configurations
  • Migrating GraphQL configurations from Semantic Objects to GraphDB
  • How to deploy GraphDB in AWS
  • How to deploy GraphDB in Azure
  • How to deploy GraphDB in GCP
  • Using GraphDB’s LLM tools with external clients

Tutorials

  • Running the interactive user guides
  • GraphDB Fundamentals Video Series
  • Loading and querying data
  • GraphDB and W3C standards
  • Customization and other advanced development
  • Talk to Your Graph examples
  • Vector search in nested fields with Elasticsearch

Reference

  • Architecture and components
  • GraphDB command line tools
  • Directories and configuration properties
  • RDF formats
  • SPARQL compliance
  • SPARQL functions reference
  • SPARQL extensions reference
  • GraphDB APIs
  • OWL compliance
  • W3C specifications
  • Benchmarks
  • GraphDB system statements
  • Glossary
  • JavaScript functions

Help

  • FAQ
  • Support
  • Release notes
  • Third-party vulnerabilities
You are viewing an older version of this document. For the latest, see version .
You are viewing an older version of the GraphDB documentation. For the latest, see .

Performance optimizations¶

The best performance is typically measured by the shortest load time and the fastest query answering. Here are all the factors that affect GraphDB performance:

  • Configuring GraphDB memory

  • Data loading and index optimizations

    • Dataset loading

    • Optional GraphDB indexes

    • Cache and index monitoring and optimizations

  • Query optimizations

  • Query profiling with the Explain plan

  • Inference optimizations

    • Delete optimizations

    • Rules optimizations

    • Optimization of owl:sameAs

    • RDFS and OWL support optimizations


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