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hierarchical indexing

3 articles · Page 1 of 1

Jul 1, 2026 · Artificial Intelligence

How PageIndex Redefines RAG: Unpacking Its Structural Advantage Over Traditional Vector Retrieval

PageIndex introduces a non‑vector, reasoning‑based RAG approach that builds a hierarchical index from a document’s structure, lets large language models navigate to relevant sections, and delivers precise, citation‑rich answers, making it especially effective for long, well‑structured texts such as financial reports, legal contracts, and academic papers.

LLMPageIndexRAG

0 likes · 8 min read

How PageIndex Redefines RAG: Unpacking Its Structural Advantage Over Traditional Vector Retrieval

Java One

Mar 28, 2026 · Artificial Intelligence

Building a Vector‑Free RAG System with Hierarchical Page Indexing

This guide explains how to create a retrieval‑augmented generation (RAG) system that avoids embeddings by converting documents into a hierarchical tree, using an LLM to navigate, summarize, and retrieve answers, complete with a full Python implementation and a GitHub repository.

LLMPythonRAG

0 likes · 15 min read

Building a Vector‑Free RAG System with Hierarchical Page Indexing

PaperAgent

Dec 12, 2025 · Artificial Intelligence

How BookRAG Redefines Long-Document Retrieval with Hierarchical Indexing

BookRAG introduces a hierarchical, structure‑aware indexing method that combines tree‑based document representation with graph‑based entity linking and an agent‑driven retrieval pipeline, achieving up to 71.2% recall improvement on multimodal long‑document benchmarks while cutting token usage and latency dramatically.

Agent RetrievalLLMLong Document QA

0 likes · 7 min read

How BookRAG Redefines Long-Document Retrieval with Hierarchical Indexing