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#032 Improving Documentation Quality for RAG Systems

How AI Is Built

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Enhancing Documentation for RAG Systems

This chapter explores strategies to improve the quality of documentation in retrieval-augmented generation (RAG) systems, focusing on identifying ambiguities and correcting errors. It discusses the chunking of documents for better semantic search and the role of large language models in enhancing knowledge discovery within organizations. Additionally, it highlights the importance of maintaining clarity and consistency in documentation to facilitate effective internal communication.

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