--- title: Proxy-Pointer RAG: Structure Meets Scale at 100%... description: Proxy-Pointer RAG is a structure-aware retrieval architecture that exploits document section headings to dramatically improve RAG accuracy. The approach uses... canonical: https://daily.dev/posts/proxy-pointer-rag-structure-meets-scale-at-100-accuracy-with-smarter-retrieval-mhzxjuu51 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Proxy-Pointer RAG: Structure Meets Scale at 100% Accuracy with Smarter Retrieval | daily.dev og:description: Proxy-Pointer RAG is a structure-aware retrieval architecture that exploits document section headings to dramatically improve RAG accuracy. The approach uses... og:url: https://daily.dev/posts/proxy-pointer-rag-structure-meets-scale-at-100-accuracy-with-smarter-retrieval-mhzxjuu51 og:image: https://api.daily.dev/og/posts/MhzXJuu51.png og:image:alt: Proxy-Pointer RAG: Structure Meets Scale at 100% Accuracy with Smarter Retrieval og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Proxy-Pointer RAG: Structure Meets Scale at 100% Accuracy with Smarter Retrieval **[Towards Data Science](https://daily.dev/sources/tds)** · 15 min read · 2 upvotes · 0 comments ## Summary Proxy-Pointer RAG is a structure-aware retrieval architecture that exploits document section headings to dramatically improve RAG accuracy. The approach uses five techniques: skeleton tree parsing, breadcrumb injection, structure-guided chunking, noise filtering, and pointer-based context loading. Benchmarked on 66 questions across four Fortune 500 FY2022 10-K filings (AMD, AMEX, Boeing, PepsiCo), it achieved 100% accuracy at k=5 and 93.9% at k=3. Key refinements include an LLM-powered noise filter replacing hardcoded rules, and a two-stage retrieval pipeline combining FAISS broad recall with an LLM structural re-ranker. The full pipeline is open-sourced under MIT license, runs on a single Gemini API key with no GPU required, and includes pre-extracted documents and benchmarking scripts. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Proxy-Pointer RAG: Achieving Vectorless Accuracy at Vector RAG Scale and Cost](https://daily.dev/posts/proxy-pointer-rag-achieving-vectorless-accuracy-at-vector-rag-scale-and-cost-robiobrdq) · Towards Data Science · 1 upvotes · 0 comments - [Proxy-Pointer RAG: Multimodal Answers Without Multimodal Embeddings](https://daily.dev/posts/proxy-pointer-rag-multimodal-answers-without-multimodal-embeddings-eyyeigz7i) · Towards Data Science · 1 upvotes · 0 comments - [Proxy-Pointer RAG: Solving Entity and Relationship Sprawl in Large Knowledge Graphs](https://daily.dev/posts/proxy-pointer-rag-solving-entity-and-relationship-sprawl-in-large-knowledge-graphs-6vg26wfhv) · Towards Data Science · 0 upvotes · 0 comments - [AutoRAG: Optimizing RAG for small models](https://daily.dev/posts/autorag-optimizing-rag-for-small-models-xdmzvdgcd) · Red Hat Developer · 0 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search) [View this post on daily.dev](https://daily.dev/posts/proxy-pointer-rag-structure-meets-scale-at-100-accuracy-with-smarter-retrieval-mhzxjuu51) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Proxy-Pointer RAG: Structure Meets Scale at 100% Accuracy with Smarter Retrieval","url":"https://daily.dev/posts/proxy-pointer-rag-structure-meets-scale-at-100-accuracy-with-smarter-retrieval-mhzxjuu51","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/proxy-pointer-rag-structure-meets-scale-at-100-accuracy-with-smarter-retrieval-mhzxjuu51"},"datePublished":"2026-04-19T15:09:15.235Z","dateModified":"2026-04-19T15:09:42.332Z","description":"Proxy-Pointer RAG is a structure-aware retrieval architecture that exploits document section headings to dramatically improve RAG accuracy. 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