head to head · open source
PageIndex vs vearch
PageIndex has 35,765 GitHub stars, 3,152 forks, 103 open issues and last shipped yesterday. vearch has 2,327 stars, 365 forks, 170 open issues and last shipped 2 months ago. PageIndex leads on adoption by 1,437% (35,765 vs 2,327 stars). PageIndex is written in Python under MIT; vearch is written in Python under Apache-2.0. PageIndex has attracted 9% as many forks as stars, vearch 16%. PageIndex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (rag, retrieval-augmented-generation, 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 | vearch | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 2.3K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-19 | 2026-07-27 |
| Forks | ⑂ 3.2K | ⑂ 365 |
| 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 vearch if
- You want the vearch 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 vearch 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 vearch
Vearch is an Apache 2.0 cloud native distributed vector database that provides similarity search over embedding vectors for AI native applications, built for teams that need retrieval, RAG, or visual search at a scale where an in process library is no longer enough.
read the full vearch overview →
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Frequently asked questions
Is PageIndex or vearch more popular?
PageIndex has 35,765 GitHub stars and vearch has 2,327. PageIndex has the larger community by that measure.
Are PageIndex and vearch free?
Both are open source. PageIndex is licensed under MIT and vearch under Apache-2.0. Neither carries a licence fee.
What is the difference between PageIndex and vearch?
PageIndex is written in Python and vearch 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 vearch?
Choose PageIndex if you want the larger community (35,765 stars) or its MIT licence terms. Choose vearch if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.