---
title: Indexing Large Documents
description: Efficiently access huge documents without loading everything at once.
---

import { Aside } from '@astrojs/starlight/components';

# Indexing Large Documents

> *"It's not that I'm lazy, it's that I just don't care about loading 500 pages at once."*

For documents over 25,000 tokens, the indexing system enables on-demand fetching through MCP resources.

<Aside type="caution" title="Coming Soon">
Detailed indexing tutorial in progress.
</Aside>

## Quick Example

```python
# Index once
result = await index_document("huge-novel.docx")
# Returns: {"doc_id": "abc123", "resources": {...}}

# Fetch chapters on demand
# chapter://abc123/1 → Chapter 1
# chapter://abc123/1.md → Chapter 1 as Markdown
```

---

<div style="text-align: center; margin-top: 2rem; font-style: italic; opacity: 0.7;">
*Full tutorial coming soon.*
</div>
