Table of Contents
These examples showcase Jina in action and provide sample code for you to work from.
We suggest you read the following to get an overview of what Jina is and how it works:
- What is neural search?
 - Get started - especially the cookbooks for Document, Executor and Flow
 
| Brand new to neural search? See a simple text-search example to understand how Jina works | |
| Get a better understanding of chunks by searching a lyrics database. Now with shiny front-end! | |
| A simple example to show how to find similar audio clips using Jina | 
| Support both querying and indexing simultaneously in our Wikipedia Search Example | |
| Use one modality (text) to search another (images) | 
Want to add your own example? Please check our guidelines!
      Meme Search - Text search / Image search / Front end | 
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| Use Transformers to search through a rich app store dataset with a responsive front-end | |
| Generate answers based on star wars descriptions from wookieepedia. | 
| Opinionated QA passage retrieval with BERT-based reranker | 
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 
testsfolder. The test data can be a few text sentences, images or audio samples - Create 
test_[your_example].pyin thetestsfolder. Add your test cases to thetestsfile 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 
pathvariable inmatrixof.github/worflows/ci.yml. This will trigger your example test on creating a pull request. 
- For reference, check out the 
testsfolder from any of the examples in this repo. - Try using the original example function by importing them to the test. Avoid any modifications to original Flow or logic.
 - Use the pytest fixture 
tmpdirfor temporary directory 
- Slack channel - a communication platform for developers to discuss Jina
 - LinkedIn - get to know Jina AI as a company and find job opportunities
 - follow us and interact with us using hashtag
#JinaSearch- Company - know more about our company, we are fully committed to open-source!
 
Copyright (c) 2021 Jina AI Limited. All rights reserved.
Jina is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.
