Overview
Research summary
PageIndex is a document-retrieval project built around hierarchical tree indexes rather than mandatory vector embeddings and fixed-size chunks. It first constructs a structured representation of a document, then uses language-model reasoning to select relevant sections. The SDK supports local operation with a user's model credentials and access to the separately hosted PageIndex service. This makes it an alternative to similarity-based retrieval for document-analysis workflows. The MIT repository covers the software implementation; model usage and hosted service access are separate dependencies.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services available
The provider offers paid products or services. Free options may also be available.
Commercial offering checked 2026-10-02.
Licence scope
Implementation
Recorded implementation details and interfaces for PageIndex.
Implementation details
Python hierarchical document indexing and retrieval SDK
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 5
- https://pageindex.ai Project page
- https://github.com/VectifyAI/PageIndex Linked repository · Research reference
- https://github.com/VectifyAI/PageIndex/blob/main/README.md Research reference
- https://api.github.com/repos/VectifyAI/PageIndex Research reference
- https://docs.pageindex.ai/pricing Commercial offering evidence
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 1 channels
Communities
- GitHub Discussionsgithub.com/VectifyAI/PageIndex/discussionsOfficial
Link details for GitHub Discussions
- Last checked