Welcome to Jina!#

Jina is a framework that empowers anyone to build cross-modal and multi-modal[*] applications on the cloud. It uplifts a PoC into a production-ready service. Jina handles the infrastructure complexity, making advanced solution engineering and cloud-native technologies accessible to every developer.

[*] Example cross-modal application: DALL·E Flow; example multi-modal services: CLIP-as-service, Jina Now.

Applications built with Jina enjoy the following features out-of-the-box:

🌌 Universal

  • Build applications that deliver fresh insights from multiple data types such as text, image, audio, video, 3D mesh, PDF with Jina AI’s DocArray.

  • Support all mainstream deep learning frameworks.

  • Polyglot gateway that supports gRPC, Websockets, HTTP, GraphQL protocols with TLS.

Performance

  • Intuitive design pattern for high-performance microservices.

  • Scaling at ease: set replicas, sharding in one line.

  • Duplex streaming between client and server.

  • Async and non-blocking data processing over dynamic flows.

☁️ Cloud-native

  • Seamless Docker container integration: sharing, exploring, sandboxing, versioning and dependency control via Jina Hub.

  • Fast deployment to Kubernetes, Docker Compose and Jina Cloud.

  • Full observability via Prometheus and Grafana.

🍱 Ecosystem

  • Improved engineering efficiency thanks to the Jina AI ecosystem, so you can focus on innovating with the data applications you build.

Jina in Jina AI neural search ecosystem

Install#

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

Now that you’re set up, let’s dive into more of how Jina works and how to build great apps.

Support#

Join Us#

Jina is backed by Jina AI and licensed under Apache-2.0. We are actively hiring AI engineers, solution engineers to build the next neural search ecosystem in open source.


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