Table of Contents
First a little light background reading, and then let's jump in and build our first app!
Tutorials
Level
Brand new to neural search? Not for long! Use cookiecutter to search through Star Trek scripts using Jina
Tutorials
Level
Upgrade from plain search to sentence search and practice your Flows and Pods by searching South Park scripts
Language-agnostic search on WMTData
Get a better understanding of chunks by searching a lyrics database. Now with shiny front-end!
Tutorials
Level
Build an image search system and define your own executors and run them in Docker
Use SOTA visual representation for searching Pokémon!
Detect, index and query similar objects
Tutorials
Level
A demo of neural search for audio data based Vggish model.
Tutorials
Level
Use prefetching and sharding to improve the performance of your index and query flow when searching animated GIFs.
Tutorials
Level
Use one modality (text) to search another (images)
Tutorials
Level
Use more than one modality (image+text) to search images
Tutorials
Level
Create separate indexes and queries for different clothing in Fashion-MNIST
Search handwriting examples using Mindspore
Improve Performance and Scalability
Tutorials
Level
Increase performance by using prefetching and sharding
Run a Flow remotely and use a local client to connect to it
Run Jina on remote instances and distribute your workflow
Learn how Jina solves complex dependencies easily with Docker container
Build a vector search engine that finds the closest vector in the database to a query.
Tutorials
Level
Implement your own ideas into Jina's plugin
Use Jina Hub and share your extensions with engineers around the globe
Adding Tests for Examples You are highly encouraged to add a test for your example so that we will be alerted if it breaks in the future:
Put your test data in the tests folder. The test data can be a few text sentences, images or audio samples
Create test_[your_example].py in the tests folder. Add your test cases to the tests file with meaningful asserts depending on example input and output
Run the test locally to confirm before pushing with pytest
Add your example folder name to the path variable in matrix of .github/worflows/ci.yml. This will trigger your example test on creating a pull request.
For reference, check out the tests folder from South Park example if your data is about text and object search example for images.
Try using the original example function by importing them to the test. Avoid any modifications to original Flow or logic.
Use the pytest fixture tmpdir for temporary directory
Community
Slack channel - a communication platform for developers to discuss JinaLinkedIn - get to know Jina AI as a company and find job opportunities#JinaSearchCompany - know more about our company, we are fully committed to open-source!
Copyright (c) 2020 Jina AI Limited. All rights reserved.
Jina is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.
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