--- title: Proxy-Pointer RAG: Achieving Vectorless Accuracy at... description: Proxy-Pointer RAG is a novel retrieval pipeline that achieves the structural accuracy of Vectorless RAG (PageIndex) at the cost and scale of standard Vector... canonical: https://daily.dev/posts/proxy-pointer-rag-achieving-vectorless-accuracy-at-vector-rag-scale-and-cost-robiobrdq twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Proxy-Pointer RAG: Achieving Vectorless Accuracy at Vector RAG Scale and Cost | daily.dev og:description: Proxy-Pointer RAG is a novel retrieval pipeline that achieves the structural accuracy of Vectorless RAG (PageIndex) at the cost and scale of standard Vector... og:url: https://daily.dev/posts/proxy-pointer-rag-achieving-vectorless-accuracy-at-vector-rag-scale-and-cost-robiobrdq og:image: https://api.daily.dev/og/posts/rObIObRDQ.png og:image:alt: Proxy-Pointer RAG: Achieving Vectorless Accuracy at Vector RAG Scale and Cost 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: Achieving Vectorless Accuracy at Vector RAG Scale and Cost **[Towards Data Science](https://daily.dev/sources/tds)** · 23 min read · 1 upvotes · 0 comments ## Summary Proxy-Pointer RAG is a novel retrieval pipeline that achieves the structural accuracy of Vectorless RAG (PageIndex) at the cost and scale of standard Vector RAG. It uses five zero-cost engineering techniques: building a skeleton tree via regex (no LLM), injecting breadcrumb ancestry paths into embeddings for structural awareness, structure-guided chunking that respects section boundaries, metadata pointers that retrieve full document sections instead of raw chunks, and noise filtering to remove distracting sections like table of contents. On a 10-query benchmark against a 131-page World Bank report, Proxy-Pointer matched or beat PageIndex on 8 out of 10 queries while requiring zero LLM calls at indexing time and no tree-navigation step at retrieval — matching standard Vector RAG in cost and scalability. ## 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: Structure Meets Scale at 100% Accuracy with Smarter Retrieval](https://daily.dev/posts/proxy-pointer-rag-structure-meets-scale-at-100-accuracy-with-smarter-retrieval-mhzxjuu51) · Towards Data Science · 2 upvotes · 0 comments - [Proxy-Pointer RAG: Temporal Reasoning Without Semantic Precompilation](https://daily.dev/posts/proxy-pointer-rag-temporal-reasoning-without-semantic-precompilation-fvf5p9atw) · 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 - [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 --- 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-achieving-vectorless-accuracy-at-vector-rag-scale-and-cost-robiobrdq) ```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: Achieving Vectorless Accuracy at Vector RAG Scale and Cost","url":"https://daily.dev/posts/proxy-pointer-rag-achieving-vectorless-accuracy-at-vector-rag-scale-and-cost-robiobrdq","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/proxy-pointer-rag-achieving-vectorless-accuracy-at-vector-rag-scale-and-cost-robiobrdq"},"datePublished":"2026-04-05T17:38:04.910Z","dateModified":"2026-04-05T17:38:34.234Z","description":"Proxy-Pointer RAG is a novel retrieval pipeline that achieves the structural accuracy of Vectorless RAG (PageIndex) at the cost and scale of standard Vector...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/c51f8478d32de275549e65224764fd7d?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/c51f8478d32de275549e65224764fd7d?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Towards Data Science","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Towards Data Science","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/tds","url":"https://daily.dev/sources/tds"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/proxy-pointer-rag-achieving-vectorless-accuracy-at-vector-rag-scale-and-cost-robiobrdq","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,rag,vector-search","timeRequired":"PT23M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Towards Data Science","item":"https://daily.dev/sources/tds"},{"@type":"ListItem","position":3,"name":"Proxy-Pointer RAG: Achieving Vectorless Accuracy at Vector RAG Scale and Cost"}]} ```