head to head · open source
PageIndex vs knowhere
PageIndex has 39,973 GitHub stars, 3,442 forks, 103 open issues and last shipped 2 days ago. knowhere has 3,891 stars, 337 forks, 40 open issues and last shipped 3 days ago. PageIndex leads on adoption by 927% (39,973 vs 3,891 stars). PageIndex is written in Python under MIT; knowhere is written in Python under Apache-2.0. PageIndex has attracted 9% as many forks as stars, knowhere 9%. PageIndex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-agents, 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
| PageIndex | knowhere | |
|---|---|---|
| GitHub stars | ★ 40K | ★ 3.9K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-03 | 2026-11-02 |
| Forks | ⑂ 3.4K | ⑂ 337 |
| 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 knowhere if
- You want the knowhere feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and knowhere 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 knowhere
Prepare unstructured data for AI Agents 🔗 Website 📄 Docs 🏠 Self Host 🖥️ Dashboard Overview Knowhere is a document parsing and retrieval system that turns complex, dirty files into persistent, navigable memory for AI agents—especially across local and offline document collections. It ingests unstructured documents and produces persistent, navigable memory: parsing, hierarchy reconstruction, multi modal structuring, and graph construction in a single pipeline. Every result stays connected to its document, section, source pages, and related assets, making the output a natural fit for Agentic RAG , vector based…
read the full knowhere overview →
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Frequently asked questions
Is PageIndex or knowhere more popular?
PageIndex has 39,973 GitHub stars and knowhere has 3,891. PageIndex has the larger community by that measure.
Are PageIndex and knowhere free?
Both are open source. PageIndex is licensed under MIT and knowhere under Apache-2.0. Neither carries a licence fee.
What is the difference between PageIndex and knowhere?
PageIndex is written in Python and knowhere 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 knowhere?
Choose PageIndex if you want the larger community (39,973 stars) or its MIT licence terms. Choose knowhere if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.