AIP-C01 Domain 2: RAG and Knowledge Integration

Which service should you use to store embeddings in vector database?

Multiple choice — select one answer

Answer choices

  1. a. Fixed-size vs hierarchical chunking in KB
  2. b. Knowledge Bases for Amazon Bedrock
  3. c. OpenSearch Serverless vector engine or Aurora pgvector
  4. d. Retrieval citations from KB responses

Architectural breakdown & explanation

Vector DBs enable similarity search.

Correct answer(s): c. OpenSearch Serverless vector engine or Aurora pgvector

Exam domain: Domain 2: RAG and Knowledge Integration (24% weight on the official guide).

Official documentation & study links

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