Laive GenIA AgentCore - Develop Architecture

MULTINetworkadvanced
Laive GenIA AgentCore - Develop Architecture — MULTI network diagram

About This Architecture

Laive GenAI AgentCore development architecture orchestrates three specialized Bedrock agents (supervisor, intelligent, homologation) across isolated runtimes with 30-day memory expiry and HTTP endpoints. Knowledge Base integration leverages Amazon Nova 3072-dimension embeddings stored in S3 vectors with AES-256 encryption, supplemented by versioned data sources and daily price extraction via EventBridge-triggered Lambda functions. Infrastructure-as-code via Terraform manages VPC isolation, ECR container registries with vulnerability scanning, Secrets Manager for SQL Server credentials, and CloudWatch observability with 14-day log retention. This multi-plane architecture demonstrates enterprise GenAI governance: agent orchestration, RAG knowledge management, and data integration with least-privilege IAM roles and encrypted state management.

People also ask

How do you architect a multi-agent GenAI system on AWS with RAG knowledge base, daily data extraction, and infrastructure-as-code?

Laive GenAI AgentCore uses three Bedrock agents (supervisor, intelligent, homologation) orchestrated in isolated runtimes with 30-day memory, backed by a knowledge base with Amazon Nova 3072-dimension embeddings. EventBridge triggers daily Lambda ETL from SQL Server, while Terraform manages VPC, ECR, Secrets Manager, and encrypted S3 state with DynamoDB locking for safe infrastructure updates.

AWSBedrockGenAIRAGTerraformLambda
Domain:
Cloud Multi
Audience:
AWS solutions architects designing multi-agent GenAI systems with RAG and CI/CD automation

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About This Architecture

Laive GenAI AgentCore development architecture orchestrates three specialized Bedrock agents (supervisor, intelligent, homologation) across isolated runtimes with 30-day memory expiry and HTTP endpoints. Knowledge Base integration leverages Amazon Nova 3072-dimension embeddings stored in S3 vectors with AES-256 encryption, supplemented by versioned data sources and daily price extraction via EventBridge-triggered Lambda functions. Infrastructure-as-code via Terraform manages VPC isolation, ECR container registries with vulnerability scanning, Secrets Manager for SQL Server credentials, and CloudWatch observability with 14-day log retention. This multi-plane architecture demonstrates enterprise GenAI governance: agent orchestration, RAG knowledge management, and data integration with least-privilege IAM roles and encrypted state management.

People also ask

How do you architect a multi-agent GenAI system on AWS with RAG knowledge base, daily data extraction, and infrastructure-as-code?

Laive GenAI AgentCore uses three Bedrock agents (supervisor, intelligent, homologation) orchestrated in isolated runtimes with 30-day memory, backed by a knowledge base with Amazon Nova 3072-dimension embeddings. EventBridge triggers daily Lambda ETL from SQL Server, while Terraform manages VPC, ECR, Secrets Manager, and encrypted S3 state with DynamoDB locking for safe infrastructure updates.

Laive GenIA AgentCore - Develop Architecture

MultiadvancedAWSBedrockGenAIRAGTerraformLambda
Domain: Cloud MultiAudience: AWS solutions architects designing multi-agent GenAI systems with RAG and CI/CD automation
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Created by

May 18, 2026

Updated

May 19, 2026 at 12:02 AM

Type

network

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