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

How AI Is Built

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Challenges and Innovations in Text Chunking

This chapter explores the development of LLM-based chunking methods for processing large text corpuses, highlighting initial challenges like unrelated content and high inference costs. The speaker discusses the importance of tagging documents for improved grouping and effective retrieval accuracy. It also addresses the complexities of multilingual document processing and suggests the need for more advanced methods in the future.

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