The article examines advanced chunking strategies for production RAG systems, evolving from basic fixed-size chunking to sophisticated methods including semantic, parent-child, proposition, late chunking, and contextual approaches. It provides a practical guide for implementing multimodal retrieval techniques within a comprehensive R