Uploaded July 2026 | Updated September 2026, 2 weeks ago
How does vector search ground an LLM? Data becomes vector embeddings as it's ingested; a user's prompt becomes a vector too, and the database returns the closest matches — so the model answers from your data. Full episode: youtu.be/se5ArmOUr8c #VectorSearch #RAG #GenerativeAI
How does vector search ground an LLM? Data becomes vector embeddings as it's ingested; a user's prompt becomes a vector too, and the database returns the closest matches — so the model answers from your data. Full episode: youtu.be/se5ArmOUr8c #VectorSearch #RAG #GenerativeAI









![Zero Cloud Tokens To Build And Run This App
How do you prove an AI model is really running locally? Task Manager shows the CPU spike and Windows Machine Learning profiling in VS Code confirms it — Foundry Local runs Phi-4-mini on a Developer Optimized Windows 365 Cloud PC to generate a meeting-summary app, and the finished app runs on the same local model, with zero cloud tokens spent to code it or to run it.
▶ Full episode: [FULL EPISODE URL]
▶ Get started: https://aka.ms/windows365
#Shorts #Windows365 #FoundryLocal #CloudPC #MicrosoftMechanics Zero Cloud Tokens To Build And Run This App](https://i.ytimg.com/vi/dJDlftFFj28/mqdefault.jpg)
