A comprehensive comparison between MCP (Model Context Protocol) and RAG (Retrieval-Augmented Generation) - two essential approaches for extending AI capabilities with external information. 📚 WHAT YOU'LL LEARN - How RAG embeds external knowledge into AI prompts - Why MCP provides standardized AI-to-system communication - The difference between static retrieval and interactive queries - When to choose RAG for your project - When to choose MCP for your project - How RAG and MCP can work together 💡 KEY TAKEAWAYS RAG is perfect for semantic search over documents and knowledge bases, while MCP excels at connecting AI to multiple systems, APIs, and tools. Understanding both will help you build more powerful AI applications. 🔗 RESOURCES Anthropic MCP Documentation: Perfect for: AI developers, ML engineers, software architects, tech enthusiasts #AI #MachineLearning #RAG #MCP #ArtificialIntelligence #TechTutorial