Embeddings & Vector Databases — The Memory Layer of AI

AI Demystified · 16 of 21 published

1. 0 Grounding 5 Mental Models You Need Before Diving Into AI
2. 1 Foundation What Happens When You Ask AI Something?
3. 2 Foundation Transformers — The Architecture That Changed Everything
4. 3 Foundation How AI Learns, Thinks, and Decides
5. 4 Foundation How AI Reads Your Words
6. 5 Foundation Why AI Forgets
7. 6 Foundation Why AI Lies (And Doesn't Know It)
8. 7 Foundation What AI Cannot Do
9. 8 Foundation How AI Reasons (And Why It Sometimes Breaks)
10. 9 Practice Prompt Engineering — How to Talk to AI
11. 10 Practice Embeddings & Vector Databases — The Memory Layer of AI
12. 11 Practice RAG Explained — How AI Knows What You Didn't Train It On
13. 12 Practice Fine-tuning vs. Prompting — When to Use Which
14. 13 Practice Do You Really Need GPT-4?
15. 14 Practice Latency, Tokens, and Cost — The Physics of AI Products
16. 15 Practice How Do You Know AI Is Actually Working?
17. 16 Hands-On Coding Setup — Your AI Development Environment soon
18. 17 Hands-On MCP Tool Calling — How AI Uses Tools soon
19. 18 Hands-On AI Agents — Beyond Chatbots soon
20. 19 Hands-On Build Your First Real AI App soon
21. 20 Hands-On Token Optimization — Spend Less, Get More soon

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