head to head · open source
PageIndex vs next-plaid
PageIndex has 35,765 GitHub stars, 3,152 forks, 103 open issues and last shipped yesterday. next-plaid has 546 stars, 60 forks, 29 open issues and last shipped 26 days ago. PageIndex leads on adoption by 6,450% (35,765 vs 546 stars). PageIndex is written in Python under MIT; next-plaid is written in Rust under Apache-2.0. PageIndex has attracted 9% as many forks as stars, next-plaid 11%. PageIndex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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 | next-plaid | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 546 |
| License | MIT | Apache-2.0 |
| Written in | Python | Rust |
| Last push | 2026-09-19 | 2026-08-25 |
| Forks | ⑂ 3.2K | ⑂ 60 |
| 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 next-plaid if
- You want the next-plaid feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and next-plaid 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 next-plaid
NextPlaid is a multi vector search engine written in Rust, and ColGREP is the semantic code search tool built on top of it for developers who work in the terminal and for the coding agents that run beside them.
read the full next-plaid overview →
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Frequently asked questions
Is PageIndex or next-plaid more popular?
PageIndex has 35,765 GitHub stars and next-plaid has 546. PageIndex has the larger community by that measure.
Are PageIndex and next-plaid free?
Both are open source. PageIndex is licensed under MIT and next-plaid under Apache-2.0. Neither carries a licence fee.
What is the difference between PageIndex and next-plaid?
PageIndex is written in Python and next-plaid in Rust. 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 next-plaid?
Choose PageIndex if you want the larger community (35,765 stars) or its MIT licence terms. Choose next-plaid if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.