How Jina Saves Time Building Cloud-Native Neural Search Systems
Offered By: Linux Foundation via YouTube
Course Description
Overview
Explore the world of cloud-native neural search systems in this 47-minute conference talk by Han Xiao from Jina AI. Gain insights into the concept of neural search, understand the scalability challenges it presents, and discover how Jina, a universal search solution, addresses these issues. Learn about the key features of Jina, including its powerful Flow API, and see a practical demonstration of a "Hello World" implementation. Delve into the company's commitment to enhancing developer onboarding experiences and their perspective on open-source development. This talk, presented at a Linux Foundation event, offers valuable knowledge for those interested in cutting-edge search technologies and cloud-native solutions.
Syllabus
Intro
What is Neural Search?
Challenges of Neural Search Scalability
What is Jina?
The universal search solution
Highlights of Jina
How is Hello World implemented?
Powerful Flow API
We care about your learning experience We keep optimizing the onboarding experience for developers
Our view on open source
Taught by
Linux Foundation
Tags
Related Courses
Author Interview - Transformer Memory as a Differentiable Search IndexYannic Kilcher via YouTube Transformer Memory as a Differentiable Search Index - Machine Learning Research Paper Explained
Yannic Kilcher via YouTube Neural Search with Jina AI - Open-Source ML Tool Explained
Aleksa Gordić - The AI Epiphany via YouTube Ways to Solve Neural Search With Jina
Elvis Saravia via YouTube Wikipedia Vector Search Demo with Weaviate
YouTube