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

@openmodelsrun