Chunking Strategies in RAG

Document chunking in RAG (Retrieval-Augmented Generation) systems is the process of splitting large documents into smaller, meaningful chunks. The right chunking strategy enables the AI model to produce more accurate and contextually relevant responses. Different approaches exist including fixed-size, paragraph-based, semantic, and hierarchical chunking.