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#037 Chunking for RAG: Stop Breaking Your Documents Into Meaningless Pieces

How AI Is Built

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Enhancing Contextual Integrity in Document Chunking for RAG Applications

This chapter addresses the limitations of traditional chunking methods in document processing, particularly for retrieval-augmented generation applications. It explores alternatives like contextual retrieval and language model-based chunking to enhance information retrieval efficiency and preserve meaning.

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