[webMeetup]: Data model for open source AI search framework

Join the 36th NLP Zurich tech shindig 20th October 2020 online. Maximilian Werk (Senior AI Engineer at Jina AI) will speak about multimodal neural search. He will focus on how he makes search systems scalable and extendable. We are looking forward to welcoming you!

Agenda

18:50 Join the webinar
19:00 Maximilian Werk (Jina AI): Data model for open source AI search framework
19:35 Q&A
19:50 Virtual Hugs and Kisses ⊂(◉‿◉)つ

Talk summary:

What if search were truly intelligent? Unlike existing enterprise solutions, Jina’s open-source deep-learning powered search framework lets you handle any kind of data (text, graphics, audio, or video), without the pain of rewriting the rulebook each time.

Since using AI algorithms can be computationally costly, having the possibility to scale out each part of the search system is a must. Therefore, we implemented a data model which has the power of switching and integrating new AI models easily on each part of the search flow while guaranteeing flexibility to the user.

In this talk, we will deep dive on our data flow design and showcase how to use it.

About the speaker:
Maximilian is a core contributor to Jina Search, an open source search AI framework. He works on making search truly intelligent that can handle not only text but also graphics, audio or video data.
Max is passionate about clean, maintainable code and architecture in the AI environment. He has a master’s in mathematics from TU Berlin and worked as senior research engineer at Zalando SE before joining Jina AI.

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