head to head · open source
PageIndex vs RAGLight
PageIndex has 35,765 GitHub stars, 3,152 forks, 103 open issues and last shipped yesterday. RAGLight has 673 stars, 102 forks, 22 open issues and last shipped 18 days ago. PageIndex leads on adoption by 5,214% (35,765 vs 673 stars). PageIndex is written in Python under MIT; RAGLight is written in Python under MIT. PageIndex has attracted 9% as many forks as stars, RAGLight 15%. PageIndex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (agentic-ai), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| PageIndex | RAGLight | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 673 |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-19 | 2026-09-02 |
| Forks | ⑂ 3.2K | ⑂ 102 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PageIndex if
- You weight community size — 36K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick RAGLight if
- You want the RAGLight feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and RAGLight fits your workflow better
About PageIndex
PageIndex is a vectorless, reasoning based retrieval augmented generation engine written in Python and released under the MIT license. It lives in the AI and machine learning infrastructure ecosystem, with topics spanning RAG, information retrieval, LLM reasoning, context engineering, and agentic AI. Instead of building a vector index, PageIndex generates a hierarchical tree index for each document and then lets a large language model reason its way through that tree, in the same way a human expert turns to the right section of a long report. The project ships as a Python SDK, a hosted cloud service, and a docume…
read the full PageIndex overview →
About RAGLight
RAGLight is a lightweight, modular Python library for building Retrieval Augmented Generation pipelines, aimed at developers who want to swap LLMs, embedding models, and vector stores without rewriting application code.
read the full RAGLight overview →
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Frequently asked questions
Is PageIndex or RAGLight more popular?
PageIndex has 35,765 GitHub stars and RAGLight has 673. PageIndex has the larger community by that measure.
Are PageIndex and RAGLight free?
Both are open source. PageIndex is licensed under MIT and RAGLight under MIT. Neither carries a licence fee.
What is the difference between PageIndex and RAGLight?
PageIndex is written in Python and RAGLight in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, PageIndex or RAGLight?
Choose PageIndex if you want the larger community (35,765 stars) or its MIT licence terms. Choose RAGLight if its feature set, stack or MIT licence fits better. Both are self-hostable.