Jina AI is a neural search company. Jina is the core product, released on April 28th, 2020. The official tagline Jina put on it's Github repository is: Jina is a cloud-native neural search solution powered by state-of-the-art AI and deep learning. To put it simply, you can use Jina to search for anything: image-to-image, video-to-video, tweet-to-tweet, audio-to-audio, code-to-code, etc. To understand what we want to achieve at Jina AI, I often explain Jina with the following two expressions.
Google recently announced they are using a “neural matching” algorithm to better understand concepts. Google's Danny Sullivan said is being used for 30% of search queries. Google has recently published a research paper that successfully matches search queries to web pages using only the search query and the web pages.
A "TensorFlow" for search. TensorFlow, PyTorch, MXNet, and Mindspore are all universal frameworks for deep learning. You can use them for recognizing cats from dogs, or playing Go and DOTA. They are powerful and universal but not optimized for a specific domain. In Jina, they are focusing on one domain only: the search. We are building on top of the universal deep learning framework and providing an infrastructure for any AI-powered search applications. The next figure illustrates how they position themselves.
A design pattern. There are design patterns for every era, from functional programming to object-oriented programming. Same goes for the search system. 30 years ago, it all started with a simple textbox. Many design patterns have been proposed for implementing the search system behind this textbox, some of which are incredibly successful commercially. In the era of neural search, a query can go beyond a few keywords; it could be an image, a video, a code snippet, or an audio file. When traditional symbolic search systems cannot effectively handle those data formats, people need a new design pattern for the underlying neural search system. That's what Jina is: a new design pattern for this new era.
JINA RESOURCES
Github: https://github.com/jina-ai/jina/
Opensource: https://opensource.jina.ai
Website: https://jina.ai
Twitter: https://twitter.com/jinaai_?lang=en
LinkedIn: https://www.linkedin.com/company/jinaai
Press: press@jina.ai
Top comments (0)