面向初学者的AI架构：各组件功能解析（无行话）

When building a first AI application, developers often find themselves perplexed by the system's structure rather than the model itself. Common questions arise regarding where AI calls are placed, how memory is managed, and the division of responsibilities between frontend and backend. A typical high-level AI system flow involves User → Router → Memory → Vector DB → LLM → Response. Each component has a singular, well-defined job, simplifying the overall architecture. The Large Language Model (LLM) acts as the "brain," responsible for understanding text and generating appropriate responses. The Router directs user requests to the correct processing path, ensuring efficient information flow. The Memory module stores contextual information, enabling the AI to maintain coherent conversations. The Vector Database facilitates efficient retrieval of relevant information, supporting the LLM's knowledge acquisition. This modular design clarifies AI architecture, helping beginners quickly grasp the logic behind building AI applications. It steers clear of complex jargon, allowing developers to focus on implementing core functionalities effectively.