Getting Started with Jina AI - A Neural Search Company

What is Neural search?

There is a lot of data on the web and sometimes it gets tricky to search for relevant data; how can we effectively search for the data we need. Our computers store terabytes of company and personal data that we need to work with; we need effective search to get our day-to-day job done.

Why Neural Search?

Neural search stands as a bridge between search and deep neural networks, with the goal of using deep learning to help improve different tasks related to search.

Neural search can make sense out of complex, noisy, or nonlinear data.

Neural search should help you automate work that you'd otherwise have to perform manually so basically it saves your time and effort.

'JINA:

• Jina AI is a Neural Search Company, providing cloud-native neural search powered by state-of-the-art AI and deep learning.
•  It's mission is to build an open-source neural search ecosystem for businesses and developers, enabling everyone to search for information in all kinds of data with high availability and scalability.

Why Jina?

• Jina is an open source search framework which allows you to build a search engine for any kind of data with any kind of data means Jina provides us the building blocks that enable us to create a search application.
• You can use jina for search which are text-to-text,video-to-video, image-to-image and so on.

Before Getting Started-

1. Make sure that you have Python 3.7+ installed on Linux/MacOS/Windows.

2. Install Jina

   via PyPI

   pip install -U jina
   

   via Condavia Docker

3. Run hello-world demo

   jina hello fashion
   

4. That’s it! In the next few seconds the demo will open in a new page in your browser.

Now that you’re set up, let’s dive into more of how Jina works and how to build great apps.