head to head · open source
PageIndex vs lancedb
PageIndex has 35,765 GitHub stars, 3,152 forks, 103 open issues and last shipped yesterday. lancedb has 11,473 stars, 1,060 forks, 627 open issues and last shipped yesterday. PageIndex leads on adoption by 212% (35,765 vs 11,473 stars). PageIndex is written in Python under MIT; lancedb is written in Rust under Apache-2.0. PageIndex has attracted 9% as many forks as stars, lancedb 9%. lancedb 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 | lancedb | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 11K |
| License | MIT | Apache-2.0 |
| Written in | Python | Rust |
| Last push | 2026-09-19 | 2026-09-19 |
| Forks | ⑂ 3.2K | ⑂ 1.1K |
| 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 lancedb if
- You want the lancedb 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 lancedb 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 lancedb
LanceDB is an open source, developer friendly embedded retrieval library for multimodal AI, maintained in Rust and released under the Apache 2.0 license. It describes itself as a multimodal AI lakehouse: a single place where developers can build, train and analyze AI workloads over vectors, metadata and multimodal data such as text, images, videos and point clouds. It is built on top of the Lance columnar format, which provides the storage layer for efficient storage and analytics.
read the full lancedb overview →
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Frequently asked questions
Is PageIndex or lancedb more popular?
PageIndex has 35,765 GitHub stars and lancedb has 11,473. PageIndex has the larger community by that measure.
Are PageIndex and lancedb free?
Both are open source. PageIndex is licensed under MIT and lancedb under Apache-2.0. Neither carries a licence fee.
What is the difference between PageIndex and lancedb?
PageIndex is written in Python and lancedb 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 lancedb?
Choose PageIndex if you want the larger community (35,765 stars) or its MIT licence terms. Choose lancedb if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.