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RAG Systems Prone to Errors Due to Poor Chunking, Experts Warn

Retrieval-Augmented Generation (RAG) systems, while powerful for providing LLMs with specific knowledge, are prone to errors if not implemented carefully. A common pitfall is incorrect chunking of documents, leading the…