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Module 6: RAG | Vector Databases - Where That Meaning Gets Stored

10 min•27 april 2026

This episode is about the infrastructure underneath every RAG system. It covers the purpose-built engine that stores all that meaning and searches millions of vectors in milliseconds, in a way no traditional database can. This is what makes retrieval fast enough to actually work in production.

Fler avsnitt av The AI Concepts Podcast

Module 6: RAG | Chunking - Where You Cut Decides What Gets Found

29 apr.•11 min

Module 6: RAG | Data Ingestion - Before Your Documents Can Be Found

27 apr.•12 min

Module 6: RAG | Embeddings - Teaching Machines to Understand Meaning

27 apr.•8 min

Module 6: The RAG Pipeline - End to End

25 apr.•13 min

Module 6: What is RAG and Why it Exists

25 apr.•9 min

Module 5: Reasoning Models

17 apr.•8 min

Module 5: Structured Output and the Language of Software

17 apr.•8 min

Module 5: System Prompts and the Invisible Rules

17 apr.•11 min

Module 5: Chain of Thought Prompting

17 apr.•7 min

Module 5: In-Context Learning, Zero-Shot, and Few-Shot Prompting

8 apr.•11 min

The AI Concepts Podcast med Sheetal ’Shay’ Dhar finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.