PageIndex
PageIndex is a Python library that helps an LLM find answers in long professional documents by reasoning over a document tree instead of vector search.
What it is good for
- Finding answers in long financial reports and filings
- Searching legal documents and technical manuals without a vector database
- Asking questions across long PDFs with less token cost
- Tracing answers back to exact sections of a document
At a glance
- Who it is for
- Setup
- Requires programming
Level 5 of 5. You need to write code to use it.
- Cost
- Free tier plus paid plans
- Type
- Framework or SDK
- Tasks
- Works with
- OpenAI Agents SDK, Claude Agent SDK, Claude Code, OpenAI, PageIndex Cloud
Momentum
- Rank this week
- Not ranked (last #28, week 43, 2026)
- Best rank
- #8 week 40, 2026
- GitHub stars
- 39,956
GitHub numbers as of Nov 2, 2026. Updated weekly.
Ranking history
Official links
Setup steps are on the official pages. We do not repeat them here, since they change.
Questions
- Is PageIndex free?
- It has a free plan and paid plans, according to its own description.
- Do I need to know how to code to use PageIndex?
- Yes. You need to write code to use it.
- What does PageIndex work with?
- According to its own documentation, it works with OpenAI Agents SDK, Claude Agent SDK, Claude Code, OpenAI, and PageIndex Cloud.
- What is PageIndex good for?
- Finding answers in long financial reports and filings, searching legal documents and technical manuals without a vector database, asking questions across long PDFs with less token cost, and tracing answers back to exact sections of a document.
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