Organizations leveraging Amazon Bedrock agents for AI face challenges when their data resides in separate AWS accounts. This post outlines a secure, serverless solution to enable cross-account integration of Amazon Bedrock with Amazon Redshift knowledge bases. The integration is vital for maintaining structured data access without duplicating resources or compromising security.
By utilizing AWS Lambda as an intermediary, this architecture allows seamless querying of data while preserving proper access controls. Users pose natural language queries to Amazon Bedrock agents, triggering Lambda functions that fetch data from Redshift clusters across accounts. The implementation requires two AWS accounts, specific IAM roles, and policies, and the AWS CLI for initial setup.
This multi-account architecture not only fosters better integration but reduces complexity in direct database access while maintaining the integrity of security protocols. As Amazon Bedrock advances, this approach facilitates ongoing enhancements within a robust cloud environment. For a detailed implementation guide, follow along with the provided resources.
Source link
