AI Systems Explained Simply: LLM, RAG, AI Agents & MCP
Artificial Intelligence is evolving rapidly, and terms like LLM, RAG, AI Agents, and MCP are becoming increasingly important. Understanding how these technologies work together can help businesses and developers build smarter, more reliable AI solutions.
LLM (Large Language Model) acts as the Brain, responsible for reasoning, generating language, and solving problems.
RAG (Retrieval-Augmented Generation) works like Brain + Books, combining AI intelligence with real-world knowledge from documents and databases to deliver more accurate responses.
AI Agents function as Brain + Hands, enabling AI to perform actions, use tools, interact with systems, and complete real-world tasks autonomously.
MCP (Model Context Protocol) serves as the Nervous System, connecting different AI tools, data sources, and applications to work together seamlessly.
At Fratello Innotech Pvt Ltd, we specialize in building intelligent, scalable, and production-ready AI solutions that help businesses automate processes, improve efficiency, and drive innovation.
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