Chunking Documents for RAG
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In this lesson
You can’t embed a 200-page PDF as one vector: its meaning gets averaged into mush, and it wouldn’t fit in a prompt anyway. So documents are cut into chunks. How you cut them decides what the retriever can find. Bad chunking is the number-one reason RAG bots give poor answers.
🎬 Cutting the textbook
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