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You are building a recommendation system that uses vector embeddings to represent user preferences and item characteristics. The system must store high-dimensional vectors and perform low-latency, approximate nearest neighbor (ANN) similarity searches to generate recommendations in real time. You prefer an AWS-native solution with built-in support for vector indexing and search. Which AWS service best meets these requirements?