A company is building a recommendation engine that relies on storing node embeddings as vectors and performing similarity queries within a fully managed graph database. Which AWS service is the MOST appropriate for this need?
Amazon Neptune
Amazon S3
AWS Lambda
Amazon DynamoDB
Amazon Neptune is AWS's fully managed graph database service that supports property graph and RDF models. It can store node embeddings as properties and, together with Neptune ML, enables similarity queries on those embeddings for use cases such as recommendations. In contrast, Amazon S3 is object storage, AWS Lambda is compute, and Amazon DynamoDB is a NoSQL key-value store without native graph or embedding-aware queries.
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