Metadata-Version: 2.1
Name: jina
Version: 2.0.0rc2.dev40
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://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>
        
        Powered by deep learning and cloud-native techniques, Jina is geared towards building search systems for any kind of
        data in just minutes.
        
        🌌 **Search anything** - Large-scale indexing and querying of unstructured data: video, image, long/short text, music,
        source code, PDF, 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.
        
        🌩️ **Fast & cloud-ready** - Decentralized architecture from day one. Scalable & cloud-native by design: enjoy
        containerizing, distributing, sharding, async, REST/gRPC/WebSocket.
        
        ## Installation
        
        2.0 is still in pre-release, **add `--pre`** to install it. [Why 2.0?](.github/2.0/1vs2.md)
        
        ```console
        $ pip install --pre jina
        $ jina -v
        2.0.0rcN
        ```
        
        #### via Docker
        
        ```console
        $ docker run jinaai/jina:master -v
        2.0.0rcN
        ```
        
        <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 | Docker Users|
        | --- | --- | --- |
        | Standard | `pip install --pre jina` | `docker run jinaai/jina:2.0.0rc` |
        | <sub><a href="https://api.jina.ai/daemon/">Daemon</a></sub> | <sub>`pip install --pre "jina[daemon]"`</sub> | <sub>`docker run --network=host jinaai/jina:latest-daemon`</sub> |
        | <sub>With Extras</sub> | <sub>`pip install --pre "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). 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>
        
        ## Get Started
        
        Document, Executor, Flow are three fundamental concepts in Jina.
        
        - [📄 **Document**](.github/2.0/cookbooks/Document.md) is the basic data type in Jina;
        - [⚙️ **Executor**](.github/2.0/cookbooks/Executor.md) is how Jina processes Documents;
        - [🔀 **Flow**](.github/2.0/cookbooks/Flow.md) is how Jina streamlines and distributes Executors.
        
        Copy-paste the minimum example below and run it:
        
        ```python
        from jina import Document, Executor, Flow, requests
        
        
        class MyExecutor(Executor):
        
            @requests(on='/bar')
            def foo(self, docs, parameters, **kwargs):
                for d in docs:
                    d.text = parameters['p1']
        
        
        f = Flow().add(uses=MyExecutor)
        d = Document(text='hello')
        
        with f:
            f.post('/bar', d, parameters={'p1': 'world'}, on_done=print)
        ```
        
        ### 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`
        - [📰 Multimodal search](./.github/pages/hello-world.md#-multimodal-document-search): `pip install "jina[multimodal]" && jina hello multimodal`
        
        #### Fork Demo & Build Your Own
        
        Copy the source code of a hello world to your own directory and start from there:
        
        ```console
        $ jina hello fork fashion ../my-proj/ 
        ```
        
        ### Read Tutorials
        
        - 📄 `Document` & `DocumentArray`: the basic data type in Jina.
            - [Minimum working example](.github/2.0/cookbooks/Document.md#minimum-working-example)
            - [`Document` API](.github/2.0/cookbooks/Document.md#document-api)
            - [`DocumentArray` API](.github/2.0/cookbooks/Document.md#documentarray-api)
        - ⚙️ `Executor`: how Jina processes Documents.
            - [Minimum working example](.github/2.0/cookbooks/Executor.md#minimum-working-example)
            - [`Executor` API](.github/2.0/cookbooks/Executor.md#executor-api)
            - [`Executor` Built-in Features](.github/2.0/cookbooks/Executor.md#executor-built-in-features)
            - [Migration from 1.x to 2.0 in Practice](.github/2.0/cookbooks/Executor.md#migration-in-practice)
        - 🔀 `Flow`: how Jina streamlines and distributes Executors.
            - [Minimum working example](.github/2.0/cookbooks/Flow.md#minimum-working-example)
            - [`Flow` API](.github/2.0/cookbooks/Flow.md#flow-api)
        - 🧼 [Write clean code in Jina](./.github/2.0/cookbooks/CleanCode.md)
        
        ## Support
        
        - 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).
        
        ## Join Us
        
        Jina is backed by [Jina AI](https://jina.ai). [We are actively hiring](https://jobs.jina.ai) full-stack developers,
        solution engineers to build the next neural search ecosystem in open source.
        
        ## 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-149-orange.svg?style=flat-square)](#contributors-)
        <!-- ALL-CONTRIBUTORS-BADGE:END -->
        
        <!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
        <!-- prettier-ignore-start -->
        <!-- markdownlint-disable -->
        
        
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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
Classifier: Programming Language :: Python :: 3.9
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
Description-Content-Type: text/markdown
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