TLDR Tech / Data
Proxy-Pointer RAG: Achieving Vectorless Accuracy at Vector RAG Scale and Cost
Proxy-Pointer RAG is motivated by the PageIndex critique that retrieval in real enterprise documents is usually a structure navigation problem, not just a semantic-similarity problem: the right answer often depends on finding the right section, table, or path in a hierarchy rather than the most similar chunk. It brings that insight into a scalable vector pipeline by adding structural proxies such as document trees, ancestry paths, and pointer-like cues, aiming to close the accuracy gap between flat vector RAG and more reasoning-heavy vectorless approaches.
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