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landing_page/qdrant-landing/content/documentation/frameworks/docarray.md
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Anush 64e6bb66e2 fix: broken links, images (#475)
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* fix: aliases
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---
title: DocArray
weight: 300
aliases: [ ../integrations/docarray/ ]
---
# DocArray
You can use Qdrant natively in DocArray, where Qdrant serves as a high-performance document store to enable scalable vector search.
DocArray is a library from Jina AI for nested, unstructured data in transit, including text, image, audio, video, 3D mesh, etc.
It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer the data with a Pythonic API.
To install DocArray with Qdrant support, please do
```bash
pip install "docarray[qdrant]"
```
More information can be found in [DocArray's documentations](https://docarray.jina.ai/advanced/document-store/qdrant/).