AI Context Management Explained: Prompts vs RAG vs MCP
Автор: CodeCraft Academy
Загружено: 2026-01-22
Просмотров: 93
Описание: Understanding how AI systems manage context is critical for building reliable and scalable applications. This deep dive explains the three core approaches to AI context management—Prompts, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP). You’ll learn how each technique works, their strengths and limitations, and when to use them individually or together. The explanation also covers real-world use cases such as document-based chatbots, enterprise AI agents, and workflow automation, helping you choose the right strategy for production-grade AI systems.
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