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Cloud-Native Neural Search Framework for Any Kind of Data

👋 Click here to see quick demo!

Image search	QA chatbot	Multi-media search

Jina is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an 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.

🌩️ Fast & cloud-ready - 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

💡 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.

	PyCharm Click menu Preferences -> JSON Schema mappings; Add a new schema, in the Schema File or URL write https://api.jina.ai/schemas/latest.json; select JSON Schema Version 7; Add a file path pattern and link it to *.jaml and *.jina.yml.
	VSCode Install the extension: YAML Language Support by Red Hat; In IDE-level settings.json add: "yaml.schemas": { "https://api.jina.ai/schemas/latest.json": ["/*.jina.yml", "/*.jaml"], }

Bits, pieces and examples of Jina code

• 👗 Fashion image search: jina hello fashion
• 🤖 QA chatbot: pip install "jina[chatbot]" && jina hello chatbot
• 📰 Multimedia search: pip install "jina[multimodal]" && jina hello multimodal

• 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

    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 backed by Jina AI. We are hiring full-stack developers, evangelists, and PMs to build the next neural search ecosystem in open source.