head to head · open source
llama_index vs PageIndex
llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. PageIndex has 39,958 stars, 3,438 forks, 103 open issues and last shipped yesterday. llama_index leads on adoption by 32% (52,779 vs 39,958 stars). llama_index is written in Python under MIT; PageIndex is written in Python under MIT. llama_index has attracted 16% as many forks as stars, PageIndex 9%. PageIndex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (agents, llm, rag, vector-database), 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
| llama_index | PageIndex | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 40K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-10-26 | 2026-11-02 |
| Forks | ⑂ 8.5K | ⑂ 3.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 53K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick PageIndex if
- You want the PageIndex feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and PageIndex fits your workflow better
About llama_index
🗂️ LlamaIndex (OSS Framework) 🦙 [!NOTE] The current focus of LlamaIndex is to build the best AI powered engine for document parsing and extraction. LlamaParse is our enterprise platform for agentic OCR, parsing, extraction, indexing and more. LiteParse represents our efforts to build the best free, fast, cheap text parser in the market. ParseBench and ExtractBench represent our commitment towards open benchmarking for parsing and extraction. The company itself has undergone an evolution since when this OSS framework first launched 3 years ago in 2023. Since the early days, the framework has consisted of a…
read the full llama_index overview →
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 →
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Frequently asked questions
Is llama_index or PageIndex more popular?
llama_index has 52,779 GitHub stars and PageIndex has 39,958. llama_index has the larger community by that measure.
Are llama_index and PageIndex free?
Both are open source. llama_index is licensed under MIT and PageIndex under MIT. Neither carries a licence fee.
What is the difference between llama_index and PageIndex?
llama_index is written in Python and PageIndex 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, llama_index or PageIndex?
Choose llama_index if you want the larger community (52,779 stars) or its MIT licence terms. Choose PageIndex if its feature set, stack or MIT licence fits better. Both are self-hostable.