Welcome to Jina!¶
Jina is a neural search framework that empowers anyone to build SOTA and scalable neural search applications in minutes.
⏱️ Save time - The design pattern of neural search systems. Quickly build solutions for indexing, querying, understanding multi-/cross-modal data such as video, image, text, audio, source code, PDF.
🚀 Serve, scale & share - Serve a local project with HTTP, WebSockets or gRPC endpoints in just minutes. Scale your neural search applications to meet your availability and throughput requirements. Share and reuse building blocks from Hub.
🍱 Own your stack - Keep end-to-end stack ownership of your solution. Avoid integration pitfalls you get with fragmented, multi-vendor, generic legacy tools. Enjoy the integration with the neural search ecosystem including DocArray, Hub and Finetuner.
Make sure that you have Python 3.7+ installed on Linux/MacOS/Windows.
pip install -U jina
conda install jina -c conda-forge
docker pull jinaai/jina:latest
That’s it! Try a hello-world demo
jina hello fashion
docker run -v "$(pwd)/j:/j" jinaai/jina:latest hello fashion --workdir /j && open j/demo.html
Now that you’re set up, let’s dive into more of how Jina works and how to build great apps.
Check out the Learning Bootcamp to get started with Jina.
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.
Subscribe to the latest video tutorials on our YouTube channel