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It’s RAG time for LLMs that need a source of truth

The Stack Overflow Podcast

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The Art of Chunking for RAG Applications

This chapter explores the significance of information chunking in retrieval-augmented generation applications, focusing on strategies to enhance response relevance and accuracy. It addresses the challenges posed by context windows in language models and offers effective methods for text segmentation.

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