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

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

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

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