step-by-step walkthroughs to build neural search solutions with Jina
Jina can handle data of any kind on multiple platforms and architectures. Whether you are searching for images, video clips, audio snippets, long legal documents, short tweets; Jina provides the universal solution by powering the state-of-the-art deep learning and AI technologies.
Jina aims at AI-in-production. You can easily scale out your VideoBERT, Xception, your word tokenizer, image segmenter and database to handle billion-level data.
• Short/long text semantic search
• Video-to-video search
• Any document search
• Cross-modality search
• Customizable workflow
• Multi-architecture/embed system
• Model containerization
• Image-to-image search
• Audio-to-audio search
• Multi-modality search
• Multi-facet search
• Scalable and elastic workflow
• Index sharding
• Distributed workload
Building a search system has never been easier. Jina offers an one-stop solution that frees you from handcrafting and gluing packages, deep learning libraries and database. With the most intuitive API and dashboard UI, you can build a cloud-native search system ready for production just in minutes.
Want to integrate the latest AI development or your own component into Jina? Simply write a Python script or build a Docker image. Plugin new algorithms has never been that easy, as it should be. Plus, Jina Hub (beta) is a community-driven model registry (marketplace) where you can find many more extensions on different use-cases.
On Linux/MacOS with Python >= 3.7 installed, simply run this command in your terminal:
To install Jina with extra dependencies, or install it on Raspberry Pi and other Linux system, please refer to the documentations
We provide a universal Jina image (only 80MB!) that supports multiple architectures (including x64, x86, arm-64/v7/v6), simply do:
On Raspberry or other Linux systems with Python >= 3.7 installed, you can simply install Jina via:
step-by-step walkthroughs to build neural search solutions with Jina
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