head to head · open source
PageIndex vs vearch
PageIndex has 39,986 GitHub stars, 3,442 forks, 103 open issues and last shipped yesterday. vearch has 2,333 stars, 366 forks, 170 open issues and last shipped 3 months ago. PageIndex leads on adoption by 1,614% (39,986 vs 2,333 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 | ★ 40K | ★ 2.3K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-07-27 |
| Forks | ⑂ 3.4K | ⑂ 366 |
| 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 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: 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 vearch
简体中文 English Overview Vearch is a cloud native distributed vector database for efficient similarity search of embedding vectors in your AI applications. Key features Hybrid search : Both vector search and scalar filtering. Performance : Fast vector retrieval search from millions of objects in milliseconds. Scalability & Reliability : Replication and elastic scaling out. Document Restful APIs Tutorial 参考文档 OpenAPIs API Documentation SDK Usage Cases Use Vearch as a Memory Backend Vearch integrates with popular AI frameworks: Real world Demos VisualSearch : Vearch can be leveraged to build a complete visual search…
read the full vearch overview →
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Frequently asked questions
Is PageIndex or vearch more popular?
PageIndex has 39,986 GitHub stars and vearch has 2,333. 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 (39,986 stars) or its MIT licence terms. Choose vearch if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.