Machine Learning13 min reading time

What Is Chunking in RAG? How Document Splitting Shapes Answer Quality

Unite.AI
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Chunking in Retrieval-Augmented Generation (RAG) splits source documents into retrievable units, shaping what evidence the system can access and present. This process involves parsing document structure, selecting chunk size and overlap, preserving metadata, embedding units, and evaluating retrieval effectiveness.

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