A company builds a knowledge graph that also needs to store vector embeddings for similarity search within the same managed database service. Which AWS service natively supports graph models and vector storage to meet this need?
Amazon OpenSearch Service
Amazon DynamoDB
Amazon RDS for MySQL
Amazon Neptune
Amazon Neptune is AWS's fully managed graph database that now supports storing vector embeddings and performing similarity search in the same service. This lets teams keep property or RDF graph data together with vectors for features such as semantic search. Amazon DynamoDB and Amazon RDS for MySQL are general-purpose databases without built-in vector search, while Amazon OpenSearch Service offers vector capabilities but is not a graph database, so it does not satisfy the combined graph plus vector requirement.
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