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

How AI Is Built

CHAPTER

The Art of Chunking in Information Retrieval

This chapter explores the concept of chunking in embedding models and retrieval-augmented generation systems, focusing on its role in optimizing query processing. The speakers discuss the complexities of maintaining context within semantic chunks and the importance of hyperparameter selection for effective information retrieval. They critique current chunking strategies while proposing methods to ensure coherent and efficient document processing.

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