A startup must store vector embeddings produced by a foundation model and run similarity search without managing extensions or plug-ins. Which AWS managed service offers native vector search indexes for this requirement?
Amazon S3
Amazon OpenSearch Service
Amazon Neptune
Amazon DynamoDB
Amazon OpenSearch Service includes a built-in k-nearest neighbor (k-NN) engine that lets customers store vector embeddings and perform similarity search directly in the service. It is fully managed and does not require installing database extensions. Amazon DynamoDB is a key-value store without native vector search. Amazon Neptune is optimized for graph workloads and only supports embeddings through additional ML features, not as a built-in vector index. Amazon S3 is an object store and cannot execute similarity queries on stored data.
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