A financial analytics company is building a RAG application on Amazon Bedrock. Their knowledge corpus contains roughly 40 million document chunks that will grow steadily, and they require sub-100ms vector retrieval latency at high query concurrency. They also want a fully managed vector store that integrates natively with Bedrock Knowledge Bases and minimizes operational overhead for indexing at this scale. Which vector store option BEST meets these requirements?