With the rapid evolution of AI technologies, methods such as Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) are becoming central in improving AI-generated content. While both methods aim to enhance AIs ability to provide accurate and contextually relevant outputs, they operate in distinctly different ways. Lets look into the key differences and their implications.
The rise of AI agents—autonomous systems that can interact with digital environments on behalf of users—is reshaping the internet as we know it. As these agents become more prevalent in how people search, shop, and interact online, **website design must evolve** to accommodate this new kind of "user."
In the fast-moving world of AI, new technologies and protocols are emerging that promise to reshape how machines interact with the web. One of the most exciting developments is the **Model Context Protocol (MCP)** — a standard designed to improve how AI models understand, navigate, and retrieve content from websites.
