ai-agent

PageIndex: Boost Info Retrieval

Get efficient document indexing with PageIndex, a reasoning-based tool.
intermediate30 minutes💵 Free (self-hosted)
35,785 stars3,153 forksPythonGuide quality 8/10 · reviewed Jun 5Updated 9/21/2026100% free · open source
What it is

You can create efficient document indexing with PageIndex, a tool that helps organize and retrieve information from documents.

Real use case example

"A founder of a startup, dealing with a large number of product manuals, can use PageIndex to index these documents, then use the indexed information to quickly find specific product details, and finally, use this information to generate a knowledge base for customer support, resulting in faster and more accurate customer assistance."

When to use it
  • Building complex research or analysis AI assistants that require deep document comprehension
  • Creating enterprise knowledge management tools with nuanced information extraction
  • Developing AI systems that need to parse complex, multi-page technical documents
Ready-to-paste prompt
pageindex.create_semantic_index('technical_reports/', reasoning_depth=3)
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/pageindex && curl -fsSL https://workflowstacks.com/api/skills/pageindex/claude-skill -o ~/.claude/skills/pageindex/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How PageIndex: Boost Info Retrieval works
Codeflow
Free to inspect

PageIndex: Boost Info Retrieval is a large Python project (~32k lines across 96 code files, plus 9 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Large codebase
~32k lines · 96 code files · ~4 h to skim
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Python
No API keys detected
Python 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    pyproject.toml
    Dependencies and the commands it exposes
  3. 3
    pageindex/__init__.py
    Inside pageindex/ — the main logic begins here
  4. 4
    cookbook/README.md
    A worked example — copy this to get going
What's in each folder
pageindex/Core code — the actual logic100 files
examples/Examples you can copy23 files
cookbook/Examples you can copy5 files
.github/CI / automation (GitHub Actions)11 files
tests/Tests — proof it works10 files
assets/Images & static assets4 files
.claude/Editor / agent settings1 files
READMEHas testsDocumentedCI checksExamples includedMIT licenseUpdated this month
Quick Actions
Details
Creator
VectifyAI
Language
Python
Category
ai-agent
Published
4/1/2025

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/pageindex.svg)](https://workflowstacks.com/skills/pageindex?utm_source=github&utm_medium=badge)
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