# Real-World 10k Validation Methodology ## Test Design ### Objective Validate IOA Core's Memory Fabric under realistic production workload with 10,000 diverse queries. ### Test Environment - **System**: IOA Core v2.5.0 - **Python**: 3.10+ - **Database**: SQLite (production uses PostgreSQL) - **Hardware**: Standard development machine - **Date**: 2025-10-02 ### Query Generation - **Total Queries**: 10,000 - **Query Types**: Mixed (factual, compliance, policy, edge cases) - **Jurisdictions**: EU, US, NZ, APAC, GLOBAL - **Complexity**: Single-concept to multi-faceted queries ### Metrics Measured 1. **Success Rate**: % of queries returning valid results 2. **Recall@10**: % of relevant docs in top 10 results 3. **MRR@10**: Mean Reciprocal Rank of first relevant result 4. **Jurisdiction Match**: % of results matching query jurisdiction 5. **Quote Fidelity**: % of results with accurate source quotes 6. **Performance**: Queries per second (QPS) and latency ### Acceptance Criteria - Success Rate ≥ 95% - Recall@10 ≥ 80% - MRR@10 ≥ 0.8 - Jurisdiction Match ≥ 95% - Quote Fidelity ≥ 90% - QPS ≥ 50 - Latency ≤ 100ms ## Results Summary All acceptance criteria **EXCEEDED**. See `results/summary.json` for details.