Use Amazon SageMaker Unified Studio to build complex AI workflows using Amazon Bedrock Flows
Machine Learning Blog
This article explains how to use Amazon SageMaker Unified Studio to build complex AI workflows with Amazon Bedrock Flows, focusing on creating an AI-powered complaint reference system for a financial institution.
- Demonstrates creating a generative AI application for handling customer complaint queries
- Utilizes key components: SageMaker Unified Studio, Bedrock Knowledge Bases, Bedrock Agents, and Bedrock Flows
- Workflow includes steps like knowledge base querying, prompt-based classification, and conditional routing
- Key features include complaint information retrieval, intelligent knowledge base, and flexible query capabilities
- Provides a step-by-step guide to creating prompts, chat agents, and flow applications
The solution showcases how to develop sophisticated AI applications efficiently using integrated AWS tools, emphasizing the importance of security and best practices in generative AI development.
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