Image search | QA chatbot | Multi-media search |
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Jina lets you build a search engine for any kind of data, whether that's text, images, audio or video. With our modular framework we provide the right tool for building each part of your search system. Alternatively, assemble them all into one Flow for a unified 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, easily usable and extendable with a Pythonic interface.
🌩️ Scale up to the cloud - Decentralized architecture from day one. Scalable & cloud-native by design: enjoy containerizing, distributing, sharding, async, REST/gRPC/WebSocket.
pip install -U jina
docker run jinaai/jina:latest
💡 Click here to see more installation options
📦 x86/64,arm/v6,v7,v8 (Apple M1) |
On Linux/macOS & Python 3.7/3.8/3.9 | Docker Users |
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Standard | pip install -U jina |
docker run jinaai/jina:latest |
Daemon | pip install -U "jina[daemon]" |
docker run --network=host jinaai/jina:latest-daemon |
With Extras | pip install -U "jina[devel]" |
docker run jinaai/jina:latest-devel |
Dev/Pre-Release | pip install --pre jina |
docker run jinaai/jina:master |
Version identifiers are explained here. To install Jina with extra dependencies please refer to the docs. Jina can run on Windows Subsystem for Linux. We welcome the community to help us with native Windows support.
💡 YAML Completion in PyCharm & VSCode
Developing Jina app often means writing YAML configs. We provide a JSON Schema for your IDE to enable code completion, syntax validation, members listing and displaying help text. Here is a video tutorial to walk you through the setup.
- What is neural search, and how is it different to symbolic search?
- Jina 101: Learn Jina's key components
- Jina 102: Learn how Jina's components fit together
- My First Jina App: Build your first simple app
Examples (View all)
Brand new to neural search? See a simple text-search example to understand how Jina works | |
Index more effectively by adding incremental indexing to your Wikipedia search | |
Get a better understanding of chunks by searching a lyrics database. Now with shiny front-end! | |
Use SOTA visual representation for searching Pokémon! | |
A demo of neural search for audio data based Vggish model. | |
Use prefetching and sharding to improve the performance of your index and query Flow when searching animated GIFs. |
Check our examples repo for advanced and community-submitted examples.
- Docs: https://docs.jina.ai
- Join our Slack community 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/.ics) and live stream on YouTube
- Subscribe to the latest video tutorials on our YouTube channel.
We welcome all kinds of contributions from the open-source community, individuals and partners. We owe our success to your active involvement.
- Contributing guidelines
- Code of conduct - play nicely with the Jina community
- Good first issues
- Release cycles and development stages
- Upcoming features - what's being planned, what we're thinking about.
Jina is an open-source project. We are hiring full-stack developers, evangelists, and PMs to build the next neural search ecosystem in open source.
Copyright (c) 2020-2021 Jina AI Limited. All rights reserved.
Jina is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.