Semantic double-pass merging chunking (SDPM) is ==an advanced Retrieval-Augmented Generation (RAG) technique that enhances retrieval accuracy by creating context-rich, semantically cohesive chunks==. It first splits text based on semantic similarities (first pass), then refines these by merging related chunks, even non-consecutive ones, to form larger, more relevant, and informative units.