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AWS Details Cross-Account Knowledge Base Retrieval for Bedrock AgentCore

Amazon Web Services outlines methods for connecting Bedrock AgentCore agents to knowledge bases in separate accounts without duplicating source data.

This article was AI-generated and published automatically. Context, labelling and all sources at the end of the article.

(KI-generiertes Symbolbild: Gemini / AI Connect)

Amazon Web Services has outlined methods allowing Amazon Bedrock AgentCore agents located in one account to query remote knowledge bases. Under this framework, agents generate responses using an Amazon Bedrock knowledge base backed by Amazon Redshift Serverless residing in a separate account. The workflow enables retrieval operations across account boundaries without copying source data.

The technical design covers the system architecture, security boundary, and operational mechanisms needed for multi-account access. Developers can implement these workflows using two distinct orchestration models, including a code-based Strands agent. Alternatively, organizations can deploy a declarative AgentCore harness to manage the cross-account interactions.

What this means for you

This multi-account pattern allows organizations to maintain centralized data repositories without duplicating storage across environments. Enterprises can choose between code-based and declarative orchestration models to fit their existing infrastructure pipelines.

Evidence

Solidly sourced
46/100

  • Amazon Bedrock AgentCore agents in one account can retrieve answers from a knowledge base backed by Redshift Serverless in a separate account.

    single source
    Quote

    „agents in one account can generate answers from an Amazon Bedrock knowledge base backed by Amazon Redshift Serverless“

    AWS, Machine Learning

  • The cross-account retrieval approach functions without copying source data across accounts.

    single source
    Quote

    „without copying source data.“

    AWS, Machine Learning

  • The architecture details a security boundary and provides two orchestration options.

    single source
    Quote

    „covers the architecture, security boundary, and two orchestration models: a code-based Strands agent and a declarative AgentCore harness.“

    AWS, Machine Learning

Sources

The evidence score is computed, not hand-set: from confidence, the number of sources and the share of verified statements.

Source & transparency

As of: August 26, 2026

AI-generatedAI-generated: produced automatically from vetted sources with technical quality checks (source, quote and figure verification); no human sign-off of each item before publication

Sources
1
Verified statements
0 / 3
Evidence score
46Solidly sourced
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