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RAG Chunking Methods: A Guide to Improving LLM Accuracy

Chunking is a critical preprocessing step for Retrieval-Augmented Generation (RAG) systems, which aim to improve the factual accuracy of Large Language Models (LLMs) by providing them with external knowledge. The effect…