Research Hub - Agentic AI Architecture (AWS)

AWSArchitectureadvanced
Research Hub - Agentic AI Architecture (AWS) — AWS architecture diagram

About This Architecture

Enterprise-grade agentic AI research hub leveraging AWS Bedrock agents with multi-layer orchestration across Orchestrator, Skills, Personas, Data Analysis, and Knowledge Search sub-agents. Data flows from marketing users through CloudFront and Cognito authentication into a VPC-isolated architecture spanning six availability zones with dedicated subnets for agent core, governance, MCP gateway, tools, EKS knowledge hub, observability, and data layers. The design implements defense-in-depth security using WAF, Shield Advanced, Guardrails, IAM roles, KMS encryption, and Macie, while supporting hybrid GraphRAG with OpenSearch vector store, Snowflake integration, and real-time streaming via MSK Kafka. Fork this diagram to customize agent personas, add domain-specific tools via MCP, or adapt the governance and observability stack for your research workflows.

People also ask

How do I architect a multi-agent AI system on AWS with governance, knowledge retrieval, and security guardrails?

This diagram shows a production-ready agentic AI research hub using AWS Bedrock with an Orchestrator Agent coordinating specialized sub-agents (Skills, Personas, Data Analysis, Knowledge Search) across isolated VPC subnets. Security is enforced via WAF, Cognito, Guardrails, KMS, and IAM, while a hybrid GraphRAG knowledge hub on EKS with OpenSearch vector store and Snowflake integration enables int

AWSBedrockagentic-AImulti-agent-orchestrationGraphRAGgovernance
Domain:
Cloud Aws
Audience:
AWS solutions architects designing agentic AI systems

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About This Architecture

Enterprise-grade agentic AI research hub leveraging AWS Bedrock agents with multi-layer orchestration across Orchestrator, Skills, Personas, Data Analysis, and Knowledge Search sub-agents. Data flows from marketing users through CloudFront and Cognito authentication into a VPC-isolated architecture spanning six availability zones with dedicated subnets for agent core, governance, MCP gateway, tools, EKS knowledge hub, observability, and data layers. The design implements defense-in-depth security using WAF, Shield Advanced, Guardrails, IAM roles, KMS encryption, and Macie, while supporting hybrid GraphRAG with OpenSearch vector store, Snowflake integration, and real-time streaming via MSK Kafka. Fork this diagram to customize agent personas, add domain-specific tools via MCP, or adapt the governance and observability stack for your research workflows.

People also ask

How do I architect a multi-agent AI system on AWS with governance, knowledge retrieval, and security guardrails?

This diagram shows a production-ready agentic AI research hub using AWS Bedrock with an Orchestrator Agent coordinating specialized sub-agents (Skills, Personas, Data Analysis, Knowledge Search) across isolated VPC subnets. Security is enforced via WAF, Cognito, Guardrails, KMS, and IAM, while a hybrid GraphRAG knowledge hub on EKS with OpenSearch vector store and Snowflake integration enables int

Research Hub - Agentic AI Architecture (AWS)

AWSadvancedBedrockagentic-AImulti-agent-orchestrationGraphRAGgovernance
Domain: Cloud AwsAudience: AWS solutions architects designing agentic AI systems
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Created by

May 24, 2026

Updated

May 24, 2026 at 1:54 AM

Type

architecture

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