An organization needs a fully managed Amazon database that lets developers store and query machine-learning embeddings using the open-source pgvector extension. Which AWS service meets this requirement?
Amazon OpenSearch Service
Amazon DynamoDB
Amazon Neptune
Amazon Aurora PostgreSQL-Compatible Edition
Amazon Aurora PostgreSQL-Compatible Edition supports the pgvector extension, allowing teams to store and run similarity searches on embedding vectors while benefiting from Aurora's managed scalability and high availability. Amazon Neptune is a graph database that now supports vector similarity search through Neptune Analytics, but it does not use the PostgreSQL-specific pgvector extension. Amazon OpenSearch Service offers powerful vector search through its k-NN plugin and vector engine but is not a PostgreSQL-compatible relational database. Amazon DynamoDB can support vector search on its data through a zero-ETL integration with Amazon OpenSearch Service, rather than through a native feature or the pgvector extension. Therefore, Aurora PostgreSQL-Compatible Edition is the only option that satisfies the requirement for a managed service with pgvector capabilities.
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