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**Module 1, Lesson 2 of the Vector Databases Masterclass: Curing AI Amnesia with Embeddings.** What Is a Vector: Meaning Converted Into Numbers. Your language model does not know anything about your organisation. It was trained on the public internet, it was frozen at a cutoff date, and it cannot read what it is not permitted to have read. This module is about where the knowledge actually lives, and how you put it somewhere your model can reach it in under a hundred milliseconds. **In this lesson you will learn:** - One point in a very tall space - Only training makes it mean anything - The trade you are actually making - Dimensions is a dial, not a constant - One call, many inputs - What retrieval is actually looking for **Chapters:** 0:00 One thousand five hundred and thirty-six numbers 0:26 One point in a very tall space 1:31 Only training makes it mean anything 2:47 The trade you are actually making 4:01 Dimensions is a dial, not a constant 5:15 One call, many inputs 6:00 What retrieval is actually looking for 7:04 Recap and what comes next This module is part of a five-module course. The full course is scoped at roughly 50 hours of theory and lab work across all five modules; this lesson runs about 7.5 minutes on its own. Every number quoted in this series is transcribed from the lesson itself. Where a vendor price or benchmark score is shown, it is labelled as needing verification against current vendor documentation. 🏷️ TAGS & KEYWORDS: Vector Database, Embeddings, RAG, Semantic Search, Vector Search, HNSW, Cosine Similarity, Dot Product, Euclidean Distance, Chunking Strategy, Embedding Dimensions, Metadata Filtering, Hybrid Search, Retrieval Augmented Generation, AI Engineering, Kris Kassem #VectorDatabase #Embeddings #RAG #SemanticSearch #VectorSearch #AIEngineering #MachineLearning #KrisKassem ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔗 CONNECT & RESOURCES WITH KRIS KASSEM: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📑 Read the long-form companion on Substack: https://theprogramrecovery.substack.com/ 💼 Connect on LinkedIn: https://www.linkedin.com/in/kris-kemp00 🐦 Follow on Twitter/X: https://twitter.com/kassemfor ☕ Support the Masterclass (Stripe Tip Jar): https://donate.stripe.com/28EaEY1olb8TfN81GX5os07

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