Anchor Detection for RAG: Parallel Detectors, Then One LLM Call at the End

This article discusses a method for anchor detection in Retrieval-Augmented Generation (RAG) systems, using parallel detectors (keywords, table of contents, embeddings) to filter structured data before a single LLM call. The approach aims to improve efficiency and accuracy in enterprise document intelligence by prioritizing retrieval steps. It highlights a hybrid strategy that combines traditional search with modern AI.