Architecting AI Agents RAG vs MCP vs Sub-Agents Explained
Автор: AI Learning Hub - Byte-Size AI Learn
Загружено: 2026-02-15
Просмотров: 12
Описание:
Designing AI agents isn’t just about prompting — it’s about architecture.
In this deep dive, we break down when to use:
RAG (Retrieval-Augmented Generation) for knowledge grounding
MCP (Model Context Protocol) for structured tool/context control
Sub-agents / Multi-agent systems for task delegation and scalability
You’ll learn:
The strengths and trade-offs of each approach
Real-world architecture patterns
When RAG is enough — and when it’s not
How MCP changes tool orchestration
When sub-agents improve reliability and modularity
If you're building production-grade AI systems, agentic workflows, or autonomous pipelines, this guide will help you avoid costly design mistakes.
#AIAgents #RAG #MCP #MultiAgent #LLMArchitecture #AIEngineering #GenerativeAI #AgenticAI
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