VectifyAI / PageIndex
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Why this job: topics: rag, retrieval-augmented-generation, vector-database, rag


What it does
Are you frustrated with vector database retrieval accuracy for long and complex documents? Vector-based RAG retrieves by semantic similarity. But similarity ≠relevance — what retrieval actually needs is relevance, and relevance requires reasoning. On professional documents that demand contextual understanding, domain expertise, and multi-step reasoning, similarity search misses what is relevant but not similar, and returns what is similar but not relevant.
Get started
pip install -U pageindex- Maintenance
- Active
- Last commit 4 days ago
- Stars
- 40,264
- +318 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.5.3
- Released 4 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 4
- Last 90 days
- Issues
- 62% closed
- 58 still open
- Pull requests
- 228 merged
- 110 waiting
- Releases
- 32
- 30+ in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- agentic-ai
- agents
- ai
- ai-agents
- context-engineering
- llm
- rag
- reasoning
- retrieval
- retrieval-augmented-generation
- vector-database
- information-retrieval
Project record
- JobRAG and search
- StatusListed
- Commits568
- Forks3,465
- Watching152
- Stars in 28 days+1,263
- CreatedApr 1, 2025
- First seen by usNov 7, 2026
- CheckedNov 9, 2026
