RAPTOR implements a novel retrieval approach that organizes documents into a recursive tree structure, enabling more efficient and context-aware retrieval for language models. The system processes documents through abstractive summarization, clustering them into hierarchical levels to support multi-granularity retrieval. This enables language models to access relevant information at different abstraction levels during inference.