Retrieval Evaluation
高级data最低上下文:32K
Evaluates retrieval quality for search and RAG systems using grounded test sets, relevance metrics, failure taxonomy, chunking experiments, and actionable remediation.
使用场景
- RAG quality measurement
- Semantic search tuning
- Knowledge-base testing
示例提示词
Create a retrieval evaluation for this knowledge base. Define queries, relevance labels, metrics, failure categories, and experiments for chunking, embeddings, and ranking.
推荐模型
兼容工具
claude-codecursorkiroany
模态
输入: text, file
→输出: text, code
相关 Skills
作者
OpenModels Community