RAG 评估集构建器 (ragas + IR 指标)
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Description
基于 ragas SDK 从文档语料构建生产级双层 RAG 评估集:同一份评估集既支持标准 IR 排序指标(Recall@K/Precision@K/MRR/NDCG@K,基于 gold chunk ID 自算),也支持 ragas LLM 裁判指标(faithfulness/answer_relevancy/context_precision/context_recall/answer_correctness)。当用户要求构建 RAG 评估集/评测数据集/生成测试问题、上线前 RAG 回归测试、或用 IR 指标衡量检索质量并配合 ragas 评估时使用。
Install RAG 评估集构建器 (ragas + IR 指标)
Run this in your OpenClaw agent to add RAG 评估集构建器 (ragas + IR 指标) from the ClawHub registry.
openclaw skills install rag-evalsetRequires ClawHub registry access. Review the security analysis below before installing.
Security Analysis
Open Source
Code is publicly available for audit.
Community Verified
Reviewed by the ClawHub community.
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Frequently asked questions
Is RAG 评估集构建器 (ragas + IR 指标) safe to install?
RAG 评估集构建器 (ragas + IR 指标) has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.
How much does RAG 评估集构建器 (ragas + IR 指标) cost?
RAG 评估集构建器 (ragas + IR 指标) is free to install for OpenClaw via ClawHub.
What are the best alternatives to RAG 评估集构建器 (ragas + IR 指标)?
You can compare RAG 评估集构建器 (ragas + IR 指标) side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.
How do I install RAG 评估集构建器 (ragas + IR 指标)?
Install RAG 评估集构建器 (ragas + IR 指标) from ClawHub at clawhub.ai/skills/rag-evalset, or use the install action on this page to copy the command for your OpenClaw agent.
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