Introduction to Context Engineering

So you want to actually understand Context Engineering — not just buzzwords, but how modern AI systems really work? In this video, I break down the complete mental model behind Context Engineering — including semantic search, vector databases, Retrieval-Augmented Generation (RAG), and the Model Context Protocol (MCP). You’ll learn: • How modern AI systems are structured (Client ➜ Context ➜ LLM) • Why “everything that matters” lives between the client and the model • What semantic search really does • How vector databases power RAG • How MCP abstracts data access for scalable AI architectures • Why context engineering determines whether your AI feels magical… or broken If you’re building AI systems, agentic workflows, RAG pipelines, or production LLM applications — this is foundational knowledge. 👉 Want to go deeper? Check out my Pluralsight course: “Introduction to Context Engineering” In the course, you’ll: • Master core terminology • See hands-on demos • Explore MCP in depth • Understand modern architectural patterns beyond surface-level tutorials BUY ME A COFFEE - please, consider sponsoring more content buymeacoffee.com/mantogod Subscribe for more deep dives into AI engineering and modern LLM system design. If you liked this video, please, support my work via Buy Me a Coffee https://buymeacoffee.com/mantogod #ContextEngineering #RAG #MCP #AIEngineering #LLM #SemanticSearch