head to head · open source
PageIndex vs qdrant-client
PageIndex has 35,765 GitHub stars, 3,152 forks, 103 open issues and last shipped yesterday. qdrant-client has 1,359 stars, 304 forks, 191 open issues and last shipped 2 days ago. PageIndex leads on adoption by 2,532% (35,765 vs 1,359 stars). PageIndex is written in Python under MIT; qdrant-client is written in Python under Apache-2.0. PageIndex has attracted 9% as many forks as stars, qdrant-client 22%. 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 | qdrant-client | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 1.4K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-19 | 2026-09-18 |
| Forks | ⑂ 3.2K | ⑂ 304 |
| 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 qdrant-client if
- You want the qdrant-client 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 qdrant-client 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 qdrant-client
qdrant client is the official Python client library and SDK for the Qdrant vector search engine, aimed at Python developers who need to create, populate, and query vector collections from scripts, notebooks, services, and pipelines.
read the full qdrant-client overview →
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Frequently asked questions
Is PageIndex or qdrant-client more popular?
PageIndex has 35,765 GitHub stars and qdrant-client has 1,359. PageIndex has the larger community by that measure.
Are PageIndex and qdrant-client free?
Both are open source. PageIndex is licensed under MIT and qdrant-client under Apache-2.0. Neither carries a licence fee.
What is the difference between PageIndex and qdrant-client?
PageIndex is written in Python and qdrant-client 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 qdrant-client?
Choose PageIndex if you want the larger community (35,765 stars) or its MIT licence terms. Choose qdrant-client if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.