Proxy-Pointer RAG: Temporal Reasoning Without Semantic Precompilation

Enterprise Retrieval-Augmented Generation (RAG) systems face challenges with temporal queries that span multiple documents. One proposed solution, LLM-Wiki, pre-compiles knowledge into canonical pages during ingestion, but this involves significant upfront processing costs and requires anticipating future user questions. An alternative architecture, Proxy-Pointer RAG, takes a "lazy" approach by creating a structural representation of documents at ingestion and performing semantic synthesis only at query time. This method leverages document structure to retrieve precise sections from multiple sources as needed, aiming to provide accuracy without the high ingestion cost and predictive burden of the LLM-Wiki model.