Performance \u2605 Benchmarks
Transparent, continuously measured infrastructure metrics. We benchmark search latency, AI inference, knowledge graph traversal, and system reliability against industry standards.
Performance Breakdown
Detailed metrics across core engine components. All values represent p95 percentiles over a 30-day rolling window.
\uD83D\uDD0D Search & Retrieval
- Keyword Lookup 8ms
- Semantic Vector Search 42ms
- Contextual Re-ranking 18ms
- Multi-language Translation 112ms
- Cross-referencing 34ms
\uD83E\uDD13 AI & Inference
- Query Understanding 22ms
- Summary Generation 145ms
- Citation Verification 88ms
- Context Window Processing 310ms
- Real-time Fact Check 56ms
\uD83D\uDD17 Knowledge Graph
- Node Resolution 6ms
- Relationship Traversal (2-hop) 12ms
- Relationship Traversal (5-hop) 24ms
- Dynamic Graph Update 41ms
- Concept Clustering 95ms
Industry Comparison
How Aevum Encyclopedia stacks up against traditional encyclopedias and modern AI knowledge platforms.
| Metric | Aevum Encyclopedia | Legacy Encyclopedias | Generic AI Search | Open Knowledge Networks |
|---|---|---|---|---|
| Search Latency (p95) | 42ms | 210ms | 380ms | 145ms |
| AI Insight Generation | 280ms | \u2014 | 1.2s | 850ms |
| Fact-Verification Accuracy | 99.94% | 98.2% | 89.4% | 94.1% |
| Real-time Updates | Continuous | Quarterly | Batch | Manual |
| Multi-language Support | 140+ | 28 | 45 | 62 |
| Expert Peer Review | Built-in | Traditional | None | Community |
Benchmark Methodology
We believe in radical transparency. Here's how we measure and report performance.
\uD83D\uDCF2 Test Environment
Production-identical staging clusters running on AWS c6i.4xlarge instances with NVMe storage. Load testing via custom Go benchmarks simulating realistic traffic patterns across 5 global regions.
\uD83D\uDCCA Measurement Standards
All latency metrics use p95 percentiles over rolling 30-day windows. Accuracy is measured against curated ground-truth datasets verified by domain experts. Uptime follows standard SLA calculations excluding planned maintenance.
\uD83D\uDD04 Refresh Frequency
Benchmarks are automatically recalculated every 15 minutes. Historical data is archived for trend analysis. We publish regression reports within 2 hours of any significant metric deviation.
Live Benchmark Log
Recent automated test cycles. Full logs available via our public API.