Laive GenIA AgentCore - Develop Architecture
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.
- Domain:
- Cloud Multi
- Audience:
- AWS solutions architects designing multi-agent GenAI systems with RAG and CI/CD automation
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