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Stardog

by Stardog Union Inc.

System Card

OrganizationStardog Union Inc.
Released2010-01
Architecturegraph-rag / enterprise knowledge graph with SPARQL and virtual graphs
DetailsStardog is a semantic-web knowledge graph platform combining RDF/OWL triple storage, SPARQL querying, virtual graph federation (query across existing databases without ETL), and a conversational AI assistant (Voicebox). It uses ontological reasoning to infer new facts from existing data. Widely deployed in regulated industries (pharma, finance, defense) for enterprise knowledge integration.
Parameters—
Domainknowledge-graphrag-retrieval
Open SourceNo
WebsiteVisit
RDFSPARQLOWLvirtual-graphsontological-reasoning

Capability Profile

Benchmark Scores

6 of 14 benchmarks
Long-Context Retrieval
2/5
RULER
69.941p
NIAH
no data
LooGLE
no data
LongBench
603p
∞Bench
no data
Multi-Turn Recall
0/2
LoCoMo
no data
MemoryBank
no data
Cross-Session Memory
1/1
LongMemEval
73.434p
Multi-Hop QA
2/3
BABILong
no data
MultiHop-RAG
7579p
HotpotQA
70.447p
Agent Task Memory
0/1
AgentBench-Mem
no data
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
1/1
RAGAS
72.878p
Sources:Stardog vendor documentation; evaluated on HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering (Stanford / CMU, 1809)Stardog vendor documentation; evaluated on MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries (HKUST, 2401)Stardog vendor documentation; evaluated on RAGAS: Automated Evaluation of Retrieval-Augmented Generation (Exploding Gradients, 2309)Stardog vendor documentation; evaluated on LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding (Tsinghua KEG, 2308)Stardog vendor documentation; evaluated on LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory (Salesforce AI Research, 2410)Stardog vendor documentation; evaluated on RULER: What's the Real Context Size of Your Long-Context Language Models (NVIDIA, 2404)