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Towards Data Science
Towards Data Science
7/9/2026
The original title is quite long and technical. Let me rewrite it to be punchy while preserving key facts.

The original title is quite long and technical. Let me rewrite it to be punchy while preserving key facts.

Original: Loop Engineering for Hierarchical Retrieval: Reading a Long Document by Its Table of Contents

Short summary

The article proposes a hierarchical retrieval method that routes queries through a document's table of contents rather than scanning every page. For a 492-page document with 358 TOC entries, this bounded-loop approach avoids mixing answers with neighbouring pages in top-k retrieval. The technique saves tokens and improves precision when querying long structured documents.

  • •Proposes TOC-based routing for retrieving answers from long structured documents
  • •Avoids top-k over every page which mixes answers with irrelevant neighbours
  • •Saves tokens and lifts precision via a bounded loop inside the retrieval pipeline

Generated with AI, which can make mistakes.

#ai-tools#ai-agents
Read full article at Towards Data Science

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