
This episode is about the layer of RAG that makes semantic search possible. It covers how machines turn language into math that clusters similar ideas together, so a question and its answer can find each other even when they share no words in common. Without this, RAG is just keyword search with extra steps.
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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: The RAG Pipeline - End to End
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