Metadata-Version: 2.1
Name: jina
Version: 0.3.5
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/1500x667new.gif?raw=true" alt="Jina banner" width="100%">
        </p>
        
        <p align="center">
        
        [![Jina](https://github.com/jina-ai/jina/blob/master/.github/badges/jina-badge.svg?raw=true  "We fully commit to open-source")](https://jina.ai)
        [![Jina](https://github.com/jina-ai/jina/blob/master/.github/badges/jina-hello-world-badge.svg?raw=true  "Run Jina 'Hello, World!' without installing anything")](#jina-hello-world-)
        [![Jina](https://github.com/jina-ai/jina/blob/master/.github/badges/license-badge.svg?raw=true  "Jina is licensed under Apache-2.0")](#license)
        [![Jina Docs](https://github.com/jina-ai/jina/blob/master/.github/badges/docs-badge.svg?raw=true  "Checkout our docs and learn Jina")](https://docs.jina.ai)
        [![We are hiring](https://github.com/jina-ai/jina/blob/master/.github/badges/jina-corp-badge-hiring.svg?raw=true  "We are hiring full-time position at Jina")](https://jobs.jina.ai)
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        [![Python 3.7 3.8](https://github.com/jina-ai/jina/blob/master/.github/badges/python-badge.svg?raw=true  "Jina supports Python 3.7 and above")](https://pypi.org/project/jina/)
        [![PyPI](https://img.shields.io/pypi/v/jina?color=%23099cec&label=PyPI%20package&logo=pypi&logoColor=white)](https://pypi.org/project/jina/)
        [![Docker](https://github.com/jina-ai/jina/blob/master/.github/badges/docker-badge.svg?raw=true  "Jina is multi-arch ready, can run on different architectures")](https://hub.docker.com/r/jinaai/jina/tags)
        [![Docker Image Version (latest semver)](https://img.shields.io/docker/v/jinaai/jina?color=%23099cec&label=Docker%20Image&logo=docker&logoColor=white&sort=semver)](https://hub.docker.com/r/jinaai/jina/tags)
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        [![API Schema](https://github.com/jina-ai/jina/workflows/API%20Schema/badge.svg)](https://api.jina.ai/)
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        <p align="center">
          <a href="https://github.com/jina-ai/jina">English</a> •
          <a href="https://github.com/jina-ai/jina/blob/master/README.ja.md">日本語</a> •
          <a href="https://github.com/jina-ai/jina/blob/master/README.fr.md">français</a> •
          <a href="https://github.com/jina-ai/jina/blob/master/README.de.md">Deutsch</a> •
          <a href="https://github.com/jina-ai/jina/blob/master/README.ru.md">Русский язык</a> •
          <a href="https://github.com/jina-ai/jina/blob/master/README.zh.md">中文</a>
        </p>
        
        
        <p align="center">
          <a href="https://jina.ai">Website</a> •
          <a href="https://docs.jina.ai">Docs</a> •
          <a href="https://learn.jina.ai">Examples</a> •
          <a href="mailto:newsletter+subscribe@jina.ai">Newsletter</a> •
          <a href="https://github.com/jina-ai/jina-hub">Hub (beta)</a> •
          <a href="https://dashboard.jina.ai">Dashboard (beta)</a> •
          <a href="https://twitter.com/intent/tweet?text=%F0%9F%91%8DCheck+out+Jina%3A+the+New+Open-Source+Solution+for+Neural+Information+Retrieval+%F0%9F%94%8D%40JinaAI_&url=https%3A%2F%2Fgithub.com%2Fjina-ai%2Fjina&hashtags=JinaSearch&original_referer=http%3A%2F%2Fgithub.com%2F&tw_p=tweetbutton">Twitter</a> •
          <a href="https://jobs.jina.ai">We are Hiring</a>
        
        </p>
        
        Want to build a search system backed by deep learning? You've come to the right place!
        
        **Jina** is cloud-native neural search, powered by the state-of-the-art AI and deep learning. It has **long-term supported** from a full-time, [venture-backed team](https://jina.ai).
        
        
        🌌 **Universal Search** - Jina enables large-scale indexing and querying of any kind on multiple platforms and architectures. Whether you're searching for images, video clips, audio snippets, long legal documents, or short tweets, Jina can handle them all.
        
        🚀 **High Performance & State-of-the-Art** - Jina aims for AI-in-production. You can easily scale out your VideoBERT, Xception, word tokenizer, image segmenter, and database to handle billions of data points. Features like async, replicas, and sharding come out-of-the-box.
        
        🐣 **System Engineering Made Easy** - Jina offers a one-stop solution that frees you from handcrafting and gluing packages, libraries and databases. With the most intuitive API and [dashboard](https://github.com/jina-ai/dashboard), building a cloud-native search system can be done in minutes.
        
        🧩 **Powerful Extensions, Simple Integration** - Want a new AI model for Jina? Just write a Python script or build a Docker image. Plugging in new algorithms has never been so simple. [Check out Jina Hub (beta)](https://github.com/jina-ai/jina-hub) and find more extensions from the community for different use-cases.
        
        Jina is an open-source project. [We are hiring](https://jobs.jina.ai) AI engineers, full-stack developers, evangelists, and PMs to build the next neural search eco-system in open-source.
        
        ## Table of Contents
        
        <img align="right" width="350px" src="https://github.com/jina-ai/jina/blob/master/.github/install.png?raw=true " />
        
        <!-- START doctoc generated TOC please keep comment here to allow auto update -->
        <!-- DON'T EDIT THIS SECTION, INSTEAD RE-RUN doctoc TO UPDATE -->
        
        
        - [Install](#install)
        - [Jina "Hello, World!" 👋🌍](#jina-hello-world-)
        - [Getting Started](#getting-started)
        - [Documentation](#documentation)
        - [Contributing](#contributing)
        - [Community](#community)
        - [Roadmap](#roadmap)
        - [License](#license)
        
        <!-- END doctoc generated TOC please keep comment here to allow auto update -->
        
        ## Install
        
        #### Install from PyPi
        
        On Linux/MacOS with Python >= 3.7, simply run:
        
        ```bash
        pip install jina
        ```
        
        To install Jina with extra dependencies, or install on Raspberry Pi [please refer to the documentation](https://docs.jina.ai).
        
        #### ...or Run with a Docker Container
        
        We provide a universal Docker image (only 80MB!) that supports multiple architectures (including x64, x86, arm-64/v7/v6). Simply run:
        
        ```bash
        docker run jinaai/jina --help
        ```
        
        ## Jina "Hello, World!" 👋🌍
        
        As a starter, you are invited to try Jina's "Hello, World" - a simple demo of image neural search for [Fashion-MNIST](https://hanxiao.io/2018/09/28/Fashion-MNIST-Year-In-Review/). No extra dependencies needed, just run:
        
        ```bash
        jina hello-world
        ```
        
        ...or even easier for Docker users, **no install required**:
        
        ```bash
        docker run -v "$(pwd)/j:/j" jinaai/jina hello-world --workdir /j && open j/hello-world.html  # replace "open" with "xdg-open" on Linux
        ```
        
        <details>
        <summary>Click here to see console output</summary>
        
        <p align="center">
          <img src="https://github.com/jina-ai/jina/blob/master/docs/chapters/helloworld/hello-world-demo.png?raw=true" alt="hello world console output">
        </p>
        
        </details>  
        
        The Docker image downloads Fashion-MNIST training and test data and tells Jina to index 60,000 images from the training set. Then it randomly samples images from the test set as queries and asks Jina to retrieve relevant results. The whole process takes about 1 minute, and it'll eventually open a webpage and show results like this:
        
        <p align="center">
          <img src="https://github.com/jina-ai/jina/blob/master/docs/chapters/helloworld/hello-world.gif?raw=true" alt="Jina banner" width="90%">
        </p>
        
        As for the implementation behind it? It's as simple as can be:
        
        <table>
        <tr>
        <td> Python API </td>
        <td> index.yml</td>
        <td> <a href="https://github.com/jina-ai/dashboard">Flow in Dashboard</a></td>
        </tr>
        <tr>
        <td>
        
        
        ```python
        from jina.flow import Flow
        
        f = Flow.load_config('index.yml')
        
        with f:
            f.index(input_fn)
        ```
        
        </td>
        <td>
          <sub>
        
        ```yaml
        !Flow
        pods:
          chunk_seg:
            yaml_path: helloworld.crafter.yml
            replicas: $REPLICAS
            read_only: true
          doc_idx:
            yaml_path: helloworld.indexer.doc.yml
          encode:
            yaml_path: helloworld.encoder.yml
            needs: chunk_seg
            replicas: $REPLICAS
          chunk_idx:
            yaml_path: helloworld.indexer.chunk.yml
            replicas: $SHARDS
            separated_workspace: true
          join_all:
            yaml_path: _merge
            needs: [doc_idx, chunk_idx]
            read_only: true
        ```
        </sub>
        
        </td>
        <td>
        
        ![Flow in Dashboard](https://github.com/jina-ai/jina/blob/master/docs/chapters/helloworld/hello-world-flow.png?raw=true)
        
        </td>
        </tr>
        </table>
        
        
        
        All the big words you can name: computer vision, neural IR, microservice, message queue, elastic, replicas & shards. They all happened in just one minute!
        
        Intrigued? Play with different options:
        
        ```bash
        jina hello-world --help
        ```
        
        [Be sure to continue with our Jina 101 Guide](https://github.com/jina-ai/jina#jina-101-first-thing-to-learn-about-jina) - to understand all key concepts of Jina in 3 minutes!  
        
        
        ## Getting Started
        
        ### Start a project from the template
        
        ```bash
        pip install cookiecutter && cookiecutter gh:jina-ai/cookiecutter-jina
        ```
        
        With [Cookiecutter](https://github.com/cookiecutter/cookiecutter) you can easily create a Jina project from templates with one terminal command. This creates a Python entrypoint, YAML configs and a Dockerfile. You can start from there.
        
        ### Tutorials
        
        <table>
          <tr>
              <td width="30%">
            <a href="https://github.com/jina-ai/jina/tree/master/docs/chapters/101">
              <img src="https://github.com/jina-ai/jina/blob/master/docs/chapters/101/img/ILLUS12.png?raw=true" alt="Jina 101 Concept Illustration Book, Copyright by Jina AI Limited" title="Jina 101 Concept Illustration Book, Copyright by Jina AI Limited"/>
            </a>
            </td>
            <td width="70%">
        &nbsp;&nbsp;<h3><a href="https://github.com/jina-ai/jina/tree/master/docs/chapters/101">Jina 101: First Thing to Learn About Jina</a></h3>
        &nbsp;&nbsp;<a href="https://github.com/jina-ai/jina/tree/master/docs/chapters/101">English</a> •
          <a href="https://github.com/jina-ai/jina/tree/master/docs/chapters/101/README.ja.md">日本語</a> •
          <a href="https://github.com/jina-ai/jina/tree/master/docs/chapters/101/README.fr.md">français</a> •
          <a href="https://github.com/jina-ai/jina/tree/master/docs/chapters/101/README.pt.md">Português</a> •
          <a href="https://github.com/jina-ai/jina/tree/master/docs/chapters/101/README.de.md">Deutsch</a> •
          <a href="https://github.com/jina-ai/jina/tree/master/docs/chapters/101/README.ru.md">Русский язык</a> •
          <a href="https://github.com/jina-ai/jina/tree/master/docs/chapters/101/README.zh.md">中文</a> •
          <a href="https://github.com/jina-ai/jina/tree/master/docs/chapters/101/README.ar.md">عربية</a>
            </td>
        
          </tr>
        </table>
        
        <table>
        <tr><th width="90%">Tutorials</th><th width="10%">Level</th></tr><tr>
        
        <tr>
        <td>
        <h4><a href="https://docs.jina.ai/chapters/flow/index.html">Use Flow API to Compose Your Search Workflow</a></h4>
        Orchestrate Pods to work together: sequentially and in parallel; locally and remotely
        </td>
        <td><h3>🐣</h3></td>
        </tr>
        
        <tr>
        <td>
        <h4><a href="https://docs.jina.ai/chapters/io/index.html">Input and Output Functions in Jina</a></h4>
        Use Jina's input and output functions
        </td>
        <td><h3>🐣</h3></td>
        </tr>
        
        <tr>
        <td>
        <h4><a href="https://github.com/jina-ai/dashboard">Use Dashboard to Get Insight of Jina Workflow</a></h4>
        Monitor workflows and get insights with Jina's dashboard
        </td>
        <td><h3>🐣</h3></td>
        </tr>
        
        <tr>
        <td>
        <h4><a href="https://github.com/jina-ai/examples/tree/master/x-as-service">From BERT-as-Service to X-as-Service</a></h4>
        Extract feature vector data using any deep learning representation
        </td>
        <td><h3>🐣</h3></td>
        </tr>
        
        <tr>
        <td>
        <h4><a href="https://github.com/jina-ai/examples/tree/master/southpark-search">Build a NLP Semantic Search System</a></h4>
        Search South Park scripts and practice with Flows and Pods
        </td>
        <td><h3>🐣</h3></td>
        </tr>
        
        <tr>
        <td>
        <h4><a href="https://github.com/jina-ai/examples/tree/master/flower-search">Build a Flower Image Search System</a></h4>
        Search images, define your own executors, and run them in Docker
        </td>
        <td><h3>🐣</h3></td>
        </tr>
        
        <tr>
        <td>
        <h4><a href="https://github.com/jina-ai/examples/tree/master/tumblr-gif-search">Video Semantic Search in Scale with Prefetching and Sharding</a></h4>
        Increase performance using prefetching and sharding
        </td>
        <td><h3>🕊</h3></td>
        </tr>
        
        <tr>
        <td>
        <h4><a href="https://github.com/jina-ai/examples/tree/master/helloworld-in-cs">Revisit "Hello, World!" in a Client-Server Architecture</a></h4>
        Run a Flow remotely and connect from a local client
        </td>
        <td><h3>🕊</h3></td>
        </tr>
        
        <tr>
        <td>
        <h4><a href="https://docs.jina.ai/chapters/remote/index.html">Distribute Your Workflow Remotely</a></h4>
        Run Jina on remote instances and distribute your workflow
        </td>
        <td><h3>🕊</h3></td>
        </tr>
        
        
        <tr>
        <td>
        <h4><a href="https://docs.jina.ai/chapters/extend/executor.html">Extend Jina by Implementing Your Own Executor</a></h4>
        Implement your own ideas as Jina plugins
        </td>
        <td><h3>🕊</h3></td>
        </tr>
        
        
        <tr>
        <td>
        <h4><a href="https://docs.jina.ai/chapters/hub/index.html">Run Jina Pod via Docker Container</a></h4>
        Solve complex dependencies easily with Docker containers
        </td>
        <td><h3>🕊</h3></td>
        </tr>
        
        <tr>
        <td>
        <h4><a href="https://github.com/jina-ai/examples/tree/master/pokedex-with-bit">Google's Big Transfer Model in (Poké-)Production</a></h4>
        Search Pokemon with SOTA visual representation!
        </td>
        <td><h3>🚀</h3></td>
        </tr>
        <tr>
        <td>
        <h4><a href="https://github.com/jina-ai/jina-hub#publish-your-pod-image-to-jina-hub">Share Your Extension with the World</a></h4>
        Share your extensions with engineers around the globe on Jina Hub
        </td>
        <td><h3>🚀</h3></td>
        </tr>
        
        </table>
        
        
        ## Documentation
        
        <a href="https://docs.jina.ai/">
        <img align="right" width="350px" src="https://github.com/jina-ai/jina/blob/master/.github/jina-docs.png?raw=true " />
        </a>
        
        The best way to learn Jina in depth is to read our documentation. Documentation is built on every push, merge, and release of the master branch. 
        
        - [Jina command line interface arguments explained](https://docs.jina.ai/chapters/cli/index.html)
        - [Jina Python API interface](https://docs.jina.ai/api/jina.html)
        - [Jina YAML syntax for Executor, Driver and Flow](https://docs.jina.ai/chapters/yaml/yaml.html)
        - [Jina Protobuf schema](https://docs.jina.ai/chapters/proto/index.html)
        - [Environment variables used in Jina](https://docs.jina.ai/chapters/envs.html)
        - ... [and more](https://docs.jina.ai/index.html)
        
        Are you a "Doc"-star? Affirmative? Join us! We welcome all kinds of improvements on the documentation.
        
        [Documentation for older versions is archived here](https://github.com/jina-ai/docs/releases).
        
        ## Contributing
        
        We welcome all kinds of contributions from the open-source community, individuals and partners. Without your active involvement, Jina won't be successful.
        
        - [Contributing guidelines](CONTRIBUTING.md)
        - [Release cycles and development stages](RELEASE.md)
        
        ## Community
        
        - [Slack channel](https://join.slack.com/t/jina-ai/shared_invite/zt-dkl7x8p0-rVCv~3Fdc3~Dpwx7T7XG8w) - a communication platform for developers to discuss Jina
        - [Community newsletter](mailto:newsletter+subscribe@jina.ai) - subscribe to the latest updates, releases and event news of Jina
        - [LinkedIn](https://www.linkedin.com/company/jinaai/) - get to know Jina AI as a company and find job opportunities
        - [![Twitter Follow](https://img.shields.io/twitter/follow/JinaAI_?label=Follow%20%40JinaAI_&style=social)](https://twitter.com/JinaAI_) - follow us and interact with using hashtag `#JinaSearch`  
        - [Company](https://jina.ai) - know more about our company and how we are fully committed to open-source!
        
        ## Roadmap
        
        [GitHub milestones](https://github.com/jina-ai/jina/milestones) lay out the path to the future improvements.
        
        We are looking for partnerships to build a Open Governance model (e.g. Technical Steering Committee) around Jina, to enable a healthy open-source ecosystem and developer-friendly culture. If you are interested in participating, contact us at [hello@jina.ai](mailto:hello@jina.ai).
        
        
        ## License
        
        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.](LICENSE)
        
Keywords: jina cloud-native semantic 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
Provides-Extra: torch
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Provides-Extra: nlp
Provides-Extra: framework
Provides-Extra: paddlepaddle
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Provides-Extra: annoy
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Provides-Extra: lz4
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Provides-Extra: sklearn
Provides-Extra: onnx
Provides-Extra: python-magic
Provides-Extra: torchvision
Provides-Extra: flow
Provides-Extra: flask
Provides-Extra: Pillow
Provides-Extra: audio
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Provides-Extra: flask_cors
Provides-Extra: tensorflow-hub
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Provides-Extra: all
Provides-Extra: flair
Provides-Extra: craft
Provides-Extra: scipy
Provides-Extra: py38
