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AIP-C01 Domain 2: RAG and Knowledge Integration

What is the MOST appropriate AWS solution to store embeddings in vector database?

Multiple choice — select one answer

Answer choices

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

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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