Resources
Learn About ARGUS
Technical documentation, benchmark data, and architecture details for decision-makers evaluating enterprise RAG.
Benchmark Results
ARGUS performance on standard multi-hop QA datasets: MuSiQue, HotpotQA, and 2WikiMultiHopQA. Tested on 500 samples per benchmark.
See the numbersArchitecture Overview
How Graph-ReAct combines knowledge graphs, PPR-based retrieval, and multi-step reasoning to achieve GPT-4 level accuracy on cost-effective models.
Explore the engineSecurity & Compliance
On-premise deployment, data sovereignty, and EU AI Act compliance — how ARGUS is designed for regulated industries.
Learn about securityBenchmarked, Not Promised
56.7%
MuSiQue EM
vs ~12% Naive RAG
80%
2WikiMultiHopQA EM
vs ~32% Naive RAG
65%
HotpotQA EM
vs ~27% Naive RAG
260K+
Knowledge Graph Triplets
Across 19K+ documents
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