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We are excited to release Jina v0.7.0! Jina is an easier way to do a neural search on the cloud.
Highlights of this release include:
Flow
evaluation supportFlow
visualization supportIn 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
Evaluation is fully supported by Jina. jina.executors.evaluators
and jina.drivers.evaluate
have been introduced to make this happen. Now you can use different metrics to evaluate the Flow. No matter whether you want to evaluate the whole Flow or just part of it, the evaluation can be done smoothly without stopping the running Flow.
To prevent duplicates in the index, UniquePbIndexer
and UniqueVectorIndexer
are introduced together with the corresponding drivers in jina.drivers.cache
. Please refer to docs.jina.ai for more details.
plot()
function of Flow
gives a better view of how the Flow looks.This release contains contributions from Alex C-G, Alex McKenzie, CatStark, Christopher Lennan, Deepankar Mahapatro, Fernanda Kawasaki, Han Xiao, Joan Fontanals Martinez, Ján Jendrušák, Maximilian Werk, Nan Wang, Oleh Yaroshchuk, Pratik Bhavsar, RenrakuRunrat, Rutuja Surve, Sai Sandeep Mutyala, Sergei Averkiev, Susana Guzman, Wang Bo, jancijen, 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.