Search an FAQ by exact product code and natural-language meaning.
One search method alone misses some cases.
Which design is appropriate?
Hybrid search combines keyword matching for exact codes with vector similarity for paraphrases, while ranking, sources, and authorization need evaluation.
Detailed explanation
The application would lose fresh source content.
Evidence and access boundaries are required.
Similarity does not guarantee string equality.
Exact terms and semantic paraphrases have different strengths.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 3.2とAmazon Bedrock Knowledge Bases検索方式の説明を確認する。
Official references
What to confirm
完全一致と意味検索の特性を使い分ける理由を説明できる。
Key points
- Keyword
- Vector
- Hybrid
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
- Compare the definition with the AIF-C01 objective and the service documentation before applying it.
- Keep the concept separate from a particular answer choice or implementation step.
Foundation review
Hybrid search
A retrieval method that combines lexical matching with vector or semantic similarity signals.
Lexical search
Matching terms or tokens in content, useful for exact names, codes, and identifiers.