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A company launches a new web application that uses an Amazon Aurora PostgreSQL database.

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A company launches a new web application that uses an Amazon Aurora PostgreSQL database. The company wants to add new features to the application that rely on AI. The company requires vector storage capability to use AI tools.

Which solution will meet this requirement MOST cost-effectively?

A.

Use Amazon OpenSearch Service to create an OpenSearch service. Configure the application to write vector embeddings to a vector index.

B.

Create an Amazon DocumentDB cluster. Configure the application to write vector embeddings to a vector index.

C.

Create an Amazon Neptune ML cluster. Configure the application to write vector embeddings to a vector graph.

D.

Install the pgvector extension on the Aurora PostgreSQL database. Configure the application to write vector embeddings to a vector table.

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