Initial search returns many candidates but poor top evidence.
Measure the effect of adding a reranker.
Choose two evaluations.
Compare candidate recall, top-k evidence accuracy and diversity, latency, cost, authorization filtering, and freshness before and after reranking.
Detailed explanation
Top quality and recall are both measured.
Top quality and recall are both measured.
Operational and governance effects are included.
Operational and governance effects are included.
Input diversity and missed candidates are hidden.
Input diversity and missed candidates are hidden.
Ordering does not grant access.
Ordering does not grant access.
Try it yourself
An example you can run in a temporary verification environment.
Amazon Bedrock Knowledge Bases公式の再ランキング、検索評価、AIF-C01 Domain 3.2を確認する。Expected result
再ランキングの品質向上と費用・権限の副作用を評価できる。Key points
- Recall
- Top-k
- Authorization
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Command output formatting can vary slightly by distribution or tool version.
- Run the example in a temporary directory or process when possible.
Foundation review
Read the scope first
Check whether the command acts on the current shell, a new process, an existing process, or a file.
Verify the observable result
Use the supplied command and compare the output with the expected result.