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Module 6: What is RAG and Why it Exists

9 min•25 april 2026

This episode kicks off Module 6 with RAG (Retrieval Augmented Generation), the #1 architecture every serious enterprise actually uses. Discover why regular LLMs hallucinate on your private data and high-stakes queries, and how RAG fixes it by forcing the model to retrieve real documents first.

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 | Vector Databases - Where That Meaning Gets Stored

27 apr.•10 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 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.