Metadata-Version: 2.1
Name: jina
Version: 1.1.9
Summary: Jina is the cloud-native neural search solution powered by the state-of-the-art AI and deep learning
Home-page: https://opensource.jina.ai
Author: Jina Dev Team
Author-email: dev-team@jina.ai
License: Apache 2.0
Download-URL: https://github.com/jina-ai/jina/tags
Description: <p align="center">
        <img src="https://github.com/jina-ai/jina/blob/master/.github/logo-only.gif?raw=true" alt="Jina banner" width="200px">
        </p>
        
        <p align="center">
        <b>Cloud-Native Neural Search Framework for <i>Any</i> Kind of Data</b>
        </p>
        
        
        <p align=center>
        <a href="https://pypi.org/project/jina/"><img src="https://github.com/jina-ai/jina/blob/master/.github/badges/python-badge.svg?raw=true" alt="Python 3.7 3.8 3.9" title="Jina supports Python 3.7 and above"></a>
        <a href="https://pypi.org/project/jina/"><img src="https://img.shields.io/pypi/v/jina?color=%23099cec&amp;label=PyPI&amp;logo=pypi&amp;logoColor=white" alt="PyPI"></a>
        <a href="https://hub.docker.com/r/jinaai/jina/tags"><img src="https://img.shields.io/docker/v/jinaai/jina?color=%23099cec&amp;label=Docker&amp;logo=docker&amp;logoColor=white&amp;sort=semver" alt="Docker Image Version (latest semver)"></a>
        <a href="https://pepy.tech/project/jina"><img src="https://pepy.tech/badge/jina/month"></a>
        <a href="https://codecov.io/gh/jina-ai/jina"><img src="https://codecov.io/gh/jina-ai/jina/branch/master/graph/badge.svg" alt="codecov"></a>
        <a href="https://slack.jina.ai"><img src="https://img.shields.io/badge/Slack-500%2B-blueviolet"></a>
        </p>
        
        <details>
        <summary>👋 Click here to see quick demo!</summary>
        
        <table>
          <tr>
            <td width="30%">
              <a href="./.github/pages/hello-world.md#-fashion-image-search">
                <img src="https://github.com/jina-ai/jina/blob/master/.github/images/hello-world.gif?raw=true" />
              </a>
            </td>
            <td width="30%">
        <a href="./.github/pages/hello-world.md#-covid-19-chatbot">
        <img src="https://github.com/jina-ai/jina/blob/master/.github/images/helloworld-chatbot.gif?raw=true" />
        </a>
            </td>
            <td width="30%">
        <a href="https://youtu.be/B_nH8GCmBfc">
        <img src="https://github.com/jina-ai/jina/blob/master/.github/images/helloworld-multimodal.gif?raw=true" />
        </a>
            </td>
          </tr>
          <tr>
            <th>
              <a href="./.github/pages/hello-world.md#-fashion-image-search">Image search</a>
            </th>
            <th>
              <a href="./.github/pages/hello-world.md#-covid-19-chatbot">QA chatbot</a>
            </th>
            <th>
              <a href="./.github/pages/hello-world.md#-multimodal-document-search">Multi-media search</a>
            </th>
          </tr>
        </table>
        
        </details>
        
        Jina is geared towards building search systems for any kind of data, including [text](https://github.com/jina-ai/examples/tree/master/wikipedia-sentences), [images](https://github.com/jina-ai/examples/tree/master/pokedex-with-bit), [audio](https://github.com/jina-ai/examples/tree/master/audio-search), [video](https://github.com/jina-ai/examples/tree/master/tumblr-gif-search) and [many more](https://github.com/jina-ai/examples). With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a [Flow](https://101.jina.ai/#Flow) for an end-to-end experience.
        
        
        🌌 **Search anything** - Large-scale indexing and querying of unstructured data: video, image, long/short text, music, source code, etc.
        
        ⏱️ **Save time** - *The* design pattern of neural search systems, from zero to a production-ready system in minutes.
        
        🍱 **Own your stack** - Keep an end-to-end stack ownership of your solution, avoid the integration pitfalls with fragmented, multi-vendor, generic legacy tools.
        
        🧠 **First-class AI models** - First-class support for [state-of-the-art AI models](https://docs.jina.ai/chapters/all_exec.html), easily usable and extendable with a Pythonic interface.
        
        🌩️ **Fast & cloud-ready** - Decentralized architecture from day one. Scalable & cloud-native by design: enjoy containerizing, distributing, sharding, async, REST/gRPC/WebSocket.
        
        
        ## Installation
        
        ```sh
        pip install -U jina
        ```
        
        #### via Docker
        
        ```sh
        docker run jinaai/jina:latest
        ```
        
        <details>
        <summary>📦 More installation options</summary>
        
        | <br><sub><sup>x86/64,arm/v6,v7,[v8 (Apple M1)](https://github.com/jina-ai/jina/issues/1781)</sup></sub> | On Linux/macOS & Python 3.7/3.8/[3.9](https://github.com/jina-ai/jina/issues/1801) | Docker Users|
        | --- | --- | --- |
        | Standard | `pip install -U jina` | `docker run jinaai/jina:latest` |
        | <sub><a href="https://api.jina.ai/daemon/">Daemon</a></sub> | <sub>`pip install -U "jina[daemon]"`</sub> | <sub>`docker run --network=host jinaai/jina:latest-daemon`</sub> |
        | <sub>With Extras</sub> | <sub>`pip install -U "jina[devel]"`</sub> | <sub>`docker run jinaai/jina:latest-devel`</sub> |
        | <sub>Dev/Pre-Release</sub> | <sub>`pip install --pre jina`</sub> | <sub>`docker run jinaai/jina:master`</sub> |
        
        Version identifiers [are explained here](https://github.com/jina-ai/jina/blob/master/RELEASE.md). To install Jina with extra dependencies [please refer to the docs](https://docs.jina.ai/chapters/install/via-pip.html). Jina can run on [Windows Subsystem for Linux](https://docs.microsoft.com/en-us/windows/wsl/install-win10). We welcome the community to help us with [native Windows support](https://github.com/jina-ai/jina/issues/1252).
        
        </details>
        
        <details>
        <summary>💡 YAML Completion in PyCharm & VSCode</summary>
        
        Developing Jina app often means writing YAML configs. We provide a [JSON Schema](https://json-schema.org/) for your IDE to enable code completion, syntax validation, members listing and displaying help text. Here is a [video tutorial](https://youtu.be/qOD-6mihUzQ) to walk you through the setup.
        
        <table>
          <tr>
            <td>
        <a href="https://www.youtube.com/watch?v=qOD-6mihUzQ&ab_channel=JinaAI"><img src="https://github.com/jina-ai/jina/blob/master/.github/images/pycharm-schema.gif?raw=true" /></a>
            </td>
            <td>
        
        **PyCharm**
        
        1. Click menu `Preferences` -> `JSON Schema mappings`;
        2. Add a new schema, in the `Schema File or URL` write `https://api.jina.ai/schemas/latest.json`; select `JSON Schema Version 7`;
        3. Add a file path pattern and link it to `*.jaml` and `*.jina.yml`.
        
        </td>
        </tr>
        <tr>
            <td>
        <a href="https://www.youtube.com/watch?v=qOD-6mihUzQ&ab_channel=JinaAI"><img src="https://github.com/jina-ai/jina/blob/master/.github/images/vscode-schema.gif?raw=true" /></a>
            </td>
            <td>
        
        **VSCode**
        
        1. Install the extension: `YAML Language Support by Red Hat`;
        2. In IDE-level `settings.json` add:
        
        ```json
        "yaml.schemas": {
            "https://api.jina.ai/schemas/latest.json": ["/*.jina.yml", "/*.jaml"],
        }
        ```
        
        </td>
        </tr>
        </table>
        </details>
        
        ## Get Started
        
        
        ### Cookbook
        
        [Bits, pieces and examples of Jina code](./.github/pages/snippets.md)
        
        ### Run Quick Demo
        
        - [👗 Fashion image search](./.github/pages/hello-world.md#-fashion-image-search): `jina hello fashion`
        - [🤖 QA chatbot](./.github/pages/hello-world.md#-covid-19-chatbot): `pip install "jina[chatbot]" && jina hello chatbot`
        - [📰 Multimedia search](./.github/pages/hello-world.md#-multimodal-document-search): `pip install "jina[multimodal]" && jina hello multimodal`
        
        ### The Basics
        
        - [What is neural search, and how is it different to symbolic search?](https://jina.ai/2020/07/06/What-is-Neural-Search-and-Why-Should-I-Care.html)
        - [Jina 101: Learn Jina's key components](https://docs.jina.ai/chapters/101/)
        - [Jina 102: Learn how Jina's components fit together](https://docs.jina.ai/chapters/102/)
        - [My First Jina App: Build your first simple app](https://docs.jina.ai/chapters/my_first_jina_app/)
        
        
        ### Video Tutorials
        
        <table>
          <tr>
            <td width="33%">
            <a href="https://youtu.be/zvXkQkqd2I8">
              <img src="https://github.com/jina-ai/jina/blob/master/.github/images/basic-concept.png?raw=true"/>
            </a>
            </td>
            <td width="33%">
            <a href="https://youtu.be/qOD-6mihUzQ">
              <img src="https://github.com/jina-ai/jina/blob/master/.github/images/speedup.png?raw=true"/>
            </a>
            </td>
            <td width="33%">
            <a href="https://youtu.be/B_nH8GCmBfc">
              <img src="https://github.com/jina-ai/jina/blob/master/.github/images/multimodal-search.png?raw=true"/>
            </a>
            </td>
          </tr>
        </table>
        
        
        ### Examples ([View all](https://github.com/jina-ai/examples))
         
        #### [📄 NLP Semantic Wikipedia Search with Transformers and DistilBERT](https://github.com/jina-ai/examples/tree/master/wikipedia-sentences)
        &nbsp;&nbsp;&nbsp;&nbsp;Brand new to neural search? See a simple text-search example to understand how Jina works 
        
        #### [📄 Add Incremental Indexing to Wikipedia Search](https://github.com/jina-ai/examples/tree/master/wikipedia-sentences-incremental)
        &nbsp;&nbsp;&nbsp;&nbsp;Index more effectively by adding incremental indexing to your Wikipedia search 
        
        #### [📄 Search Lyrics with Transformers and PyTorch](https://github.com/jina-ai/examples/tree/master/multires-lyrics-search)
        &nbsp;&nbsp;&nbsp;&nbsp;Get a better understanding of chunks by searching a lyrics database. Now with shiny front-end! 
        
        #### [🖼️ Google's Big Transfer Model in (Poké-)Production](https://github.com/jina-ai/examples/tree/master/pokedex-with-bit)
        &nbsp;&nbsp;&nbsp;&nbsp;Use SOTA visual representation for searching Pokémon!
        
        #### [🎧 Search YouTube audio data with Vggish](https://github.com/jina-ai/examples/tree/master/audio-search)
        &nbsp;&nbsp;&nbsp;&nbsp;A demo of neural search for audio data based Vggish model. 
        
        #### [🎞️ Search Tumblr GIFs with KerasEncoder](https://github.com/jina-ai/examples/tree/master/tumblr-gif-search)
        &nbsp;&nbsp;&nbsp;&nbsp;Use prefetching and sharding to improve the performance of your index and query Flow when searching animated GIFs.
        
        Check our [examples repo](https://github.com/jina-ai/examples) for advanced and community-submitted examples.
        
        ## Documentation & Support
        
        - Docs: https://docs.jina.ai
        - Join our [Slack community](https://slack.jina.ai) to chat to our engineers about your use cases, questions, and support queries.
        - Join our Engineering All Hands meet-up to discuss your use case and learn Jina's new features.
            - **When?** The second Tuesday of every month
            - **Where?** Zoom ([calendar link](https://calendar.google.com/event?action=TEMPLATE&tmeid=MHIybG03cjAwaXE3ZzRrYmVpaDJyZ2FpZjlfMjAyMDEwMTNUMTIwMDAwWiBjXzF0NW9nZnAyZDQ1djhmaXQ5ODFqMDhtY200QGc&tmsrc=c_1t5ogfp2d45v8fit981j08mcm4%40group.calendar.google.com&scp=ALL)/[.ics](https://hanxiao.io/2020/08/06/Engineering-All-Hands-in-Public/jina-ai-public.ics)) and [live stream on YouTube](https://youtube.com/c/jina-ai)
        - Subscribe to the latest video tutorials on our [YouTube channel](https://youtube.com/c/jina-ai).
        
        
        ## Contributing
        
        We welcome all kinds of contributions from the open-source community, individuals and partners. We owe our success to your active involvement.
        
        - [Contributing guidelines](CONTRIBUTING.md)
        - [Code of conduct](https://github.com/jina-ai/jina/blob/master/.github/CODE_OF_CONDUCT.md) - play nicely with the Jina community
        - [Good first issues](https://github.com/jina-ai/jina/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22)
        - [Release cycles and development stages](RELEASE.md)
        - [Upcoming features](https://portal.productboard.com/jinaai/) - what's being planned, what we're thinking about.
        
        
        
        <!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
        [![All Contributors](https://img.shields.io/badge/all_contributors-141-orange.svg?style=flat-square)](#contributors-)
        <!-- ALL-CONTRIBUTORS-BADGE:END -->
        
        <!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
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Keywords: jina cloud-native neural-search query search index elastic neural-network encoding embedding serving docker container image video audio deep-learning
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Unix Shell
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Database :: Database Engines/Servers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Internet :: WWW/HTTP :: Indexing/Search
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Multimedia :: Video
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
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