GraphDB is an RDF triplestore and graph database built on the rdf4j framework, queried using SPARQL. It stores data using W3C semantic web standards — RDF, RDFS, OWL, and SHACL — and is distinguished by its native support for semantic inferencing at scale, meaning it can derive new facts from existing data based on ontological rules without manual query logic. Core capabilities include SPARQL 1.1 querying, OWL reasoning and inference, SHACL-based data validation, full-text search via Elasticsearch and Lucene connectors, vector similarity search, and GraphQL access. It supports federation across multiple repositories and integrates with LLMs for GraphRAG pipelines, including MCP protocol support added in version 11. It is available in a free edition and an Enterprise tier with clustering, high availability, and multi-zone replication. It runs on-premises, via Docker, or on cloud marketplaces including AWS. GraphDB is used primarily for enterprise knowledge graph construction, data integration across heterogeneous sources, metadata management, and as a structured knowledge layer for AI applications where factual accuracy and semantic consistency matter. It targets organisations working within semantic web and linked data standards rather than those using property graph models.