Evaluation of methodological innovations
RAGEval utilizes a three-tiered assessment system:
1) Retrieve quality layers: Measure 5 metrics such as recall, contextual relevance, etc.
2) Generate quality layers: Assess 4 dimensions of factual consistency, fluency, etc.
3) System Performance Layer: Analyze O&M metrics such as response latency, memory usage, etc.
Key Technology Breakthroughs
- Adversarial testing: Robustness of the automatic injection 20% interference data detection system
- Dynamic threshold adjustment: Automatically adapts rubrics based on task type
- attributional analysis: Percentage of localization errors originating from the retrieval/generation phase
A typical assessment report contains
- Three-dimensional radar chart showing scores by dimension
- Attribution Analysis Tree for Error Cases
- Table of differences from baseline model
- List of targeted improvement suggestions (e.g., adjusting chunk_size or adding negative samples)
This answer comes from the articleUltraRAG: A One-Stop RAG System Solution to Simplify Data Construction and Model Fine-TuningThe
May not be reproduced without permission:AI productivity tools " How is UltraRAG's RAGEval assessment methodology fundamentally different from traditional assessments?
