Search FAQs by product code and natural language.
Tune keyword and vector contributions.
Choose two appropriate evaluations.
Use exact-match, paraphrase, short, and long query sets and measure recall, top precision, latency, and cost after weighting.
Detailed explanation
The strengths of each search signal can be compared.
The strengths of each search signal can be compared.
Ranking quality and operations are both evaluated.
Ranking quality and operations are both evaluated.
Input types can behave differently.
Input types can behave differently.
Vector similarity does not guarantee string equality.
Vector similarity does not guarantee string equality.
Try it yourself
An example you can run in a temporary verification environment.
Amazon Bedrock Knowledge Bases公式のハイブリッド検索とAIF-C01 Domain 3.2を確認する。Expected result
キーワード・ベクトル双方の検索性能をクエリ群で評価できる。Key points
- Query set
- Recall
- Precision
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.