Foundation Model Integration, Data Management, and Compliance III
Explore advanced integration strategies for foundation models and efficient data management in Generative AI systems. Understand how to optimize vector stores, handle frequent document updates, and implement compliant, low-latency retrieval-augmented generation solutions using AWS tools to meet complex business requirements.
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Question 11
A fintech company needs to implement sub-second semantic search over time-sensitive financial reports. The solution must support custom sharding strategies and advanced indexing to maintain low latency as the dataset grows.
Which vector store solution best meets these requirements?
A. Amazon Bedrock Knowledge Bases with default indexing
B. Amazon OpenSearch Service with Neural (k-NN) plugin and custom shard allocation
C. Amazon RDS for MySQL with vector extensions
D. Amazon DynamoDB with Global Secondary Indexes ...