Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

This article provides best practices for building robust generative AI applications using Amazon Bedrock Agents. It focuses on creating accurate and reliable agents.

Specifically, the article covers:

• Collecting high-quality ground truth data for benchmarking and evaluation
• Defining the scope and sample interactions for each agent
• Architecting the solution with small, focused agents that interact with each other
• Planning the agent's tone and greetings for a consistent user experience
• Providing clear and unambiguous instructions, definitions, and prompts
• Integrating organizational knowledge bases with the agent
• Establishing evaluation criteria and metrics for measuring agent performance
• Utilizing human evaluation in addition to automated metrics
• Continuously testing, iterating, and refining the agent based on feedback