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This guide explains how to evaluate quality when considering hybrid architectures (e.g., GLiNER + LLM): - 3-tier evaluation pyramid: entity → relation → end-to-end RAG - Gold standard dataset creation (manual annotation + pseudo-labeling) - Precision/Recall/F1 metrics for entities and relations - Integration with existing RAGAS evaluation framework - Real-world case study with decision thresholds - Quality vs speed tradeoff matrix Key thresholds: - Entity F1 drop < 5% - Relation F1 drop < 3% - RAGAS score drop < 2% Helps users make informed decisions about optimization strategies. |
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| .. | ||
| Algorithm.md | ||
| DockerDeployment.md | ||
| EvaluatingEntityRelationQuality-zh.md | ||
| FrontendBuildGuide.md | ||
| LightRAG_concurrent_explain.md | ||
| OfflineDeployment.md | ||
| PerformanceFAQ-zh.md | ||
| PerformanceOptimization-zh.md | ||
| PerformanceOptimization.md | ||
| SelfHostedOptimization-zh.md | ||
| UV_LOCK_GUIDE.md | ||
| WhatIsGleaning-zh.md | ||