head to head · open source
PageIndex vs RAGLight
PageIndex has 39,973 GitHub stars, 3,442 forks, 103 open issues and last shipped 2 days ago. RAGLight has 672 stars, 102 forks, 22 open issues and last shipped 20 days ago. PageIndex leads on adoption by 5,848% (39,973 vs 672 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 | ★ 40K | ★ 672 |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-03 | 2026-10-16 |
| Forks | ⑂ 3.4K | ⑂ 102 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PageIndex if
- You weight community size — 40K 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: Vectorless, Reasoning based RAG Reasoning based RAG ◦ No Vector DB, No Chunking ◦ Context Aware Retrieval ◦ Reads Like a Human 🌐 Website • ☁️ Cloud • 📖 Docs • 📝 Blog • ✉️ Contact Updates [Aug '26] 🔥 PageIndex SDK : pip install U pageindex now ships local mode : index, retrieve, and chat entirely on your machine with your own LLM key, or point the same client at PageIndex Cloud with an API key. [Aug '26] ⚡ PageIndex Flash : fast tree index generation for text based PDFs, now the default indexing method in PageIndex SDK local mode. Scale PageIndex to Millions of Documents: PageIndex File System is a…
read the full PageIndex overview →
About RAGLight
RAGLight RAGLight is a lightweight and modular Python library for implementing Retrieval Augmented Generation (RAG) . It enhances the capabilities of Large Language Models (LLMs) by combining document retrieval with natural language inference. Designed for simplicity and flexibility, RAGLight provides modular components to easily integrate various LLMs, embeddings, and vector stores, making it an ideal tool for building context aware AI solutions. 📚 Table of Contents Requirements Features Import library Chat with Your Documents Instantly With CLI Ignore Folders Feature Ignore Folders in Configuration Classes…
read the full RAGLight overview →
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Frequently asked questions
Is PageIndex or RAGLight more popular?
PageIndex has 39,973 GitHub stars and RAGLight has 672. 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 (39,973 stars) or its MIT licence terms. Choose RAGLight if its feature set, stack or MIT licence fits better. Both are self-hostable.