Foundation Model Integration, Data Management, and Compliance IV
Explore how to integrate foundation models effectively in generative AI applications, implement hybrid search with vector and keyword methods, and manage data compliance. This lesson helps you handle embedding model selection, incremental model rollouts, and modular prompt workflows within AWS environments for professional GenAI deployments.
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Question 16
A GenAI team is implementing a hybrid search for a technical documentation portal. Users often search using exact error codes as well as natural language questions. The system uses Amazon OpenSearch Service as the vector store.
Which approaches should the team implement to support effective hybrid search? (Select any two options.)
A. Combine keyword-based search with vector similarity search in OpenSearch.
B. Use Amazon Bedrock Knowledge Bases without keyword indexing.
C. Store documents in DynamoDB and perform post-retrieval filtering.
D. Apply weighted scoring to merge ...