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At Jina AI, we are fully committed to complying with the GDPR. Our policy towards privacy,
security,
and data protection aligns with the goals of GDPR. On our website, we only collect and store information
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If you have any further questions, please do not hesitate to reach out to us at:
[email protected].
We’re excited to release Jina v0.8.0! Jina is an easier way to do a neural search on the cloud.
Highlights of this release include:
SparseArray
jina.types
module to offer Pythonic interface to access and manipulate protobuf objects.In this post we’ll highlight some of the key new features. For full release notes, including bug fixes, breaking changes, and sample code, please check our GitHub repo
jina.types
module, which offers a Pythonic interface to access and manipulate protobuf objects. The main types include Request
, QueryLang
, NdArray
, Message
, and Document
. With the help of Jina types, you can construct inputs to Jina much more easily than before.To support multimodal search, we’ve introduced BaseMultiModalEncoder
and MultimodalDriver
. Check out how to search fashion items with text and images together at Jina examples.
We’ve introduced Classifiers
, a new type of executor. With the help of Classifier
, the new executor is designed to enrich the Documents with tags. Check out more details at docs.jina.ai.
This release contains contributions from Alex Cureton-Griffiths, Anshul Wadhawan, Bing, Deepankar Mahapatro, Han Xiao, Joan Fontanals, Maximilian Werk, Nan Wang, Nicholas Chin, Pratik Bhavsar, Rutuja Surve, Wang Bo, Yongxuanzhang, cristian, hoenickf, pswu11.
And thanks to all of you out there as well! Without you, Jina couldn’t do what we do. Your support means a lot to us.
Want to work with Jina full-time? Check out our openings on our website.