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Research · Intermediate

# Hierarchical document analysis for dense technical reports

Navigate multi-page documents by mapping structural sections to answer complex research queries

[Use with BotBento ](https://app.botbento.com/?ref=usecases&utm_source=botbento.com&utm_medium=usecases&utm_campaign=hierarchical-document-analysis-for-dense-technical-reports)Copy promptShare[Markdown](/text/usecases/hierarchical-document-analysis-for-dense-technical-reports/index.md)

Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askSubmit query on uploaded document
- ThenSearch section tree for relevant text
- ResultDisplay answers with exact citations

Analyze dense manuals, financial filings, and technical documentation by generating structural section hierarchies instead of chunked text snippets. The bot navigates document outlines using reasoning steps to retrieve exact contextual passages and answer detailed analytical questions.

## Prompt to start with

BotBentoRecommended

```
Ingest target PDF files and construct hierarchical table-of-contents trees to represent sections, subsections, and tables. When asked a question, reason through the document outline to locate relevant chapters and extract supporting excerpts before drafting the answer. Always cite specific page numbers and section headers. If the user asks to export notes or dispatch summaries via external channels, draft the text and wait for explicit confirmation before saving or transmitting.
```

Copy

## Tools it uses

PDF filesTerminalChat

## Works with

BotBento

## Tags

- pdf
- document-search
- research
- technical-docs

## Source

[PageIndex: 📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG](https://github.com/VectifyAI/PageIndex)
GitHub · checked 2026-10-15

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-15 · Updated 2026-10-15 · [Suggest a correction](/contact/)

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