
This episode maps out the full RAG pipeline end to end using one concrete scenario, a defense contractor building an AI assistant for fighter jet maintenance crews. It walks through both phases of the architecture, offline and online, following a real question all the way from a raw document to a grounded answer. It also covers why the architecture is modular and closes with the four failure modes that quietly break RAG systems in production.
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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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