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AllegroGraph

by Franz Inc.

System Card

OrganizationFranz Inc.
Released2004-12
Architecturegraph-rag / entity-event knowledge graph triplestore
DetailsAllegroGraph is a high-performance RDF triplestore from Franz Inc. (founded 1984), supporting SPARQL, Prolog, and JavaScript query interfaces. Its patented Entity-Event Knowledge Graph approach unifies all enterprise data into a temporal event model. Supports both JSON-LD document storage and RDF triple storage. Horizontally scalable with distributed federation. Used by intelligence agencies and Fortune 500 firms.
Parameters—
Domainknowledge-graphrag-retrieval
Open SourceNo
WebsiteVisit
RDFSPARQLPrologentity-eventtriplestore

Capability Profile

Benchmark Scores

6 of 14 benchmarks
Long-Context Retrieval
2/5
RULER
7473p
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
70.725p
Multi-Hop QA
2/3
BABILong
no data
MultiHop-RAG
7579p
HotpotQA
75.271p
Agent Task Memory
0/1
AgentBench-Mem
no data
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
1/1
RAGAS
71.263p
Sources:AllegroGraph vendor documentation; evaluated on HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering (Stanford / CMU, 1809)AllegroGraph vendor documentation; evaluated on MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries (HKUST, 2401)AllegroGraph vendor documentation; evaluated on RAGAS: Automated Evaluation of Retrieval-Augmented Generation (Exploding Gradients, 2309)AllegroGraph vendor documentation; evaluated on LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding (Tsinghua KEG, 2308)AllegroGraph vendor documentation; evaluated on LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory (Salesforce AI Research, 2410)AllegroGraph vendor documentation; evaluated on RULER: What's the Real Context Size of Your Long-Context Language Models (NVIDIA, 2404)