AI Architecture Patterns

Standard enterprise AI architecture patterns for production systems include RAG, Multi-Agent Orchestration, AI Gateway, LLMOps, and Security & Governance frameworks. These patterns address challenges in managing multiple AI services, integrating enterprise knowledge, and orchestrating complex workflows.

To implement a RAG pattern with security guardrails, you select the RAG Production Pattern and combine it with the AI Gateway and Security & Governance patterns. This combination facilitates knowledge integration while protecting sensitive data in production environments.

Yes, the AI architecture guidance supports deployment across AWS, GCP, Azure, and OCI. It provides cloud mapping to help you implement chosen AI patterns like AI Gateway and LLMOps across these specific cloud platforms.

The best way to choose between multi-agent orchestration and a single RAG pattern is using the included decision tree and pattern combination matrix. These tools help evaluate your specific use case requirements for agent coordination versus simple knowledge integration.

You manage multiple AI services and workflows in a production environment by applying the AI Gateway, Multi-Agent Orchestration, and LLMOps patterns. These architecture patterns specifically address challenges in service management, agent coordination, and system monitoring.