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The benefits of using Amazon Bedrock Data Automation Amazon Bedrock Data Automation provides a single, unified API that automates the processing of unstructured multi-modal content, minimizing the complexity of orchestrating multiple models, fine-tuning prompts, and stitching outputs together.
The solution uses Amazon Bedrock , a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, providing a broad set of capabilities to build generative AI applications with security, privacy, and responsibleAI.
Amazon Bedrock Agents can be used to configure specialized agents that run actions seamlessly based on user input and your organizations data. These managed agents play conductor, orchestrating interactions between FMs, API integrations, user conversations, and knowledge bases loaded with your data.
Additionally, we discuss the design from security and responsibleAI perspectives, demonstrating how you can apply this solution to a wider range of industry scenarios. Vector embedding and data cataloging To support natural language query similarity matching, the respective data is vectorized and stored as vector embeddings.
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