Before Full Agentic RAG: Know How You Decide, and the Parsing Methods You Pick From

A structured, dispatcher-based approach is proposed for parsing documents in enterprise Retrieval-Augmented Generation (RAG) systems. This method avoids true agentic decision-making by using a four-stage process: Nature, Plan, Execute, and Synthesize. The "Nature" stage first deterministically analyzes document properties like text layers, tables, and structure without an LLM. Based on this analysis, the "Plan" stage creates a rule-based, ordered sequence of parsing methods, such as fitz, Docling, or various OCR tools. This controlled workflow ensures that document parsing is explicit and reproducible, producing an enriched corpus for downstream tasks while distinguishing it from more dynamic, LLM-driven agentic systems.