head to head · open source
PageIndex vs Vector
PageIndex has 35,696 GitHub stars, 3,147 forks, 103 open issues and last shipped yesterday. Vector has 22,581 stars, 2,285 forks, 2,512 open issues and last shipped today. PageIndex leads on adoption by 58% (35,696 vs 22,581 stars). PageIndex is written in Python under MIT; Vector is written in Rust under MPL-2.0. PageIndex has attracted 9% as many forks as stars, Vector 10%. Vector was the more recently maintained of the two, and both are self-hostable with no licence fee.
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 | Vector | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 23K |
| License | MIT | MPL-2.0 |
| Written in | Python | Rust |
| Last push | 2026-09-17 | 2026-09-18 |
| Forks | ⑂ 3.1K | ⑂ 2.3K |
| 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 Vector if
- You want the Vector feature set and don't need the biggest community
- You prefer the MPL-2.0 license terms
- Your stack matches Rust
- You evaluated both and Vector 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 Vector
Vector is an open source observability data pipeline written in Rust and licensed under MPL 2.0. It operates as an end to end system for collecting, transforming, and routing logs and metrics within the cloud native monitoring ecosystem. The project is maintained by Datadog's Community Open Source Engineering team, and its topics include agent, cloud native, data transformation, datadog, etl, events, forwarder, logs, metrics, and monitoring.
read the full Vector overview →
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Frequently asked questions
Is PageIndex or Vector more popular?
PageIndex has 35,696 GitHub stars and Vector has 22,581. PageIndex has the larger community by that measure.
Are PageIndex and Vector free?
Both are open source. PageIndex is licensed under MIT and Vector under MPL-2.0. Neither carries a licence fee.
What is the difference between PageIndex and Vector?
PageIndex is written in Python and Vector 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 Vector?
Choose PageIndex if you want the larger community (35,696 stars) or its MIT licence terms. Choose Vector if its feature set, stack or MPL-2.0 licence fits better. Both are self-hostable.