Understanding AI Application Architecture: How UI, LLMs, RAG, Tool Calling, and MCP Work Together
AI applications are not just about calling an LLM. A real solution needs a user interface, backend API, orchestration layer, prompt logic, RAG/knowledge search, tool calling, MCP client and servers, external systems, monitoring, guardrails, and evaluation. This architecture helps AI reason, access trusted data, use tools safely, and deliver reliable business outcomes.