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This video is Sponsored by Twingate → https://twingate.plug.dev/eqoeK2F It breaks down the complete AI stack in a simple, system design perspective. We go step by step: • Embeddings: how AI understands meaning • Vector Databases: how AI remembers • Agents: how AI decides and acts • RAG: how AI stays accurate and up-to-date • MCP: how AI connects to real-world tools By the end, you’ll have a clear mental model of how modern AI systems actually work. 📚 Related Resources: → ByteMonk Blog: https://blog.bytemonk.io/ → System Design Course: https://academy.bytemonk.io/courses → LinkedIn: https://www.linkedin.com/in/bytemonk/ → Github: https://github.com/bytemonk-academy ⏱️ Timestamps 0:00 – Understanding AI Systems 0:30 – Embeddings Explained (Foundation of AI) 1:40 – Vector Databases: AI Memory Layer 2:54 – AI Agents: Reasoning + Actions 4:15 – RAG: Making AI Answers Accurate 5:29 – MCP: Connecting AI to Real Tools 6:28 – Owning Your AI Stack (Big Shift Happening) 7:36 – Twingate: Security Problem No One Talks About 9:11 – Final Recap: AI Is Infrastructure https://www.youtube.com/playlist?list=PLJq-63ZRPdBt423WbyAD1YZO0Ljo1pzvY https://www.youtube.com/playlist?list=PLJq-63ZRPdBssWTtcUlbngD_O5HaxXu6k https://www.youtube.com/playlist?list=PLJq-63ZRPdBu38EjXRXzyPat3sYMHbIWU https://www.youtube.com/playlist?list=PLJq-63ZRPdBuo5zjv9bPNLIks4tfd0Pui https://www.youtube.com/playlist?list=PLJq-63ZRPdBsPWE24vdpmgeRFMRQyjvvj https://www.youtube.com/playlist?list=PLJq-63ZRPdBslxJd-ZT12BNBDqGZgFo58 #aistack #bytemonk #systemdesign