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Evaluates document relevance to queries using binary scoring (yes/no) with reasoning. Use when filtering retrieved documents, determining relevance for answer generation, or when the user mentions grading, filt...
浏览 edangx100 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
6收录技能的仓库 Stars 合计
0仓库 Forks
0平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Evaluates document relevance to queries using binary scoring (yes/no) with reasoning. Use when filtering retrieved documents, determining relevance for answer generation, or when the user mentions grading, filt...
Formats citations and validates source attribution for answers generated from multiple document sources (ChromaDB and web search). Use when adding source references to generated answers, validating citation acc...
Generates answers by synthesizing information from retrieved documents with citations. Use as final RAG pipeline step, when creating answers from multiple sources, or when the user mentions answer generation or...
Ranks and scores retrieved documents based on similarity metrics from vector search. Use when sorting documents by relevance, prioritizing results, or when the user mentions ranking, scoring, or ordering docume...
Enhances vague queries for better retrieval with context-aware improvements. Use during adaptive retry when no relevant documents found, when queries are unclear, or when the user mentions query enhancement or...
Routes queries to appropriate data sources (vectordb, web_search, direct_llm) and selects collections to search. Use when analyzing user queries, determining search strategy, or when the user mentions routing,...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。