Retrieval Evaluation

FortgeschrittendataMindestens 32K Kontext

Evaluates retrieval quality for search and RAG systems using grounded test sets, relevance metrics, failure taxonomy, chunking experiments, and actionable remediation.

ragretrievalsearchevaluation

Anwendungsfälle

  • RAG quality measurement
  • Semantic search tuning
  • Knowledge-base testing

Beispiel-Prompt

Create a retrieval evaluation for this knowledge base. Define queries, relevance labels, metrics, failure categories, and experiments for chunking, embeddings, and ranking.

Empfohlene Modelle

claude-opus-4-6gpt-5gemini-2-5-pro

Kompatible Werkzeuge

claude-codecursorkiroany

Modalitäten

Eingabe: text, file
→
Ausgabe: text, code

Ähnliche Skills

rag-pipeline-builderknowledge-graph

Autor

OpenModels Community

@openmodelsrun