Welcome to Jina!¶
Jina is a neural search framework that empowers anyone to build SOTA and scalable deep learning search applications in minutes.
⏱️ Save time - The design pattern of neural search systems. Native support for PyTorch/Keras/ONNX/Paddle. Build solutions in just minutes.
🌌 All data types - Process, index, query, and understand videos, images, long/short text, audio, source code, PDFs, etc.
🌩️ Local & cloud friendly - Distributed architecture, scalable & cloud-native from day one. Same developer experience on both local and cloud.
🍱 Own your stack - Keep end-to-end stack ownership of your solution. Avoid integration pitfalls you get with fragmented, multi-vendor, generic legacy tools.
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.
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