AWS Certified Cloud Practitioner
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When configuring a Knowledge Base in Amazon Bedrock, which foundation model is used to generate vector embeddings for semantic search and retrieval?
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RRitesh
Explanation:
Amazon Titan Embeddings is the foundation model specifically designed for generating vector embeddings in Amazon Bedrock Knowledge Bases. These embeddings are used for semantic search and retrieval by converting text into numerical vectors that capture semantic meaning, enabling similarity-based search capabilities.
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