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draft, preview_image, sitemapExclude, title, slug, short_description, description, date, author, featured, author_link, tags, categories
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| false | /blog/from_cms/docarray.png | true | Qdrant and Jina integration: storage backend support for DocArray | qdrant-and-jina-integration | One more way to use Qdrant: Jina's DocArray is now supporting Qdrant as a storage backend. | We are happy to announce that Jina.AI integrates Qdrant engine as a storage backend to their DocArray solution. | 2022-03-15T15:00:00+03:00 | Alyona Kavyerina | false | https://medium.com/@alyona.kavyerina |
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We are happy to announce that Jina.AI integrates Qdrant engine as a storage backend to their DocArray solution.
Now you can experience the convenience of Pythonic API and Rust performance in a single workflow.
DocArray library defines a structure for the unstructured data and simplifies processing a collection of documents, including audio, video, text, and other data types. Qdrant engine empowers scaling of its vector search and storage.
Read more about the integration by this link