JinaAI
Jina AI is a Neural Search Company, enabling cloud-native neural search powered by state-of-the-art AI and deep learning. Our mission is to provide an open-source neural search ecosystem for businesses and developers, allowing everyone to search for information in all kinds of data with high availability and scalability.
Why use Jina to build a neural search?
Jina is an open-source deep learning-powered search framework for building cross-/multi-modal search systems (e.g. text, images, video, audio) on the cloud. Essentially, it lets you build a search engine for any kind of data with any kind of data.
So you could build your own text-to-text search engine ala Google, a text-to-image search engine ala Google Images, a video-to-video search engine and so on. Companies like Facebook, Google, and Spotify build these searches powered by state-of-the-art AI-powered models like FAISS, DistilBERT and Annoy.
Install
via PyPI: pip install jina
via Conda: conda install jina -c conda-forge
via Docker: docker run jinaai/jina:latest
Quick Demo
Fashion image search: jina hello fashion
QA chatbot: pip install "jina[demo]" && jina hello chatbot
Multimodal search: pip install "jina[demo]" && jina hello multimodal
Why Jina?
Save time
Get started with neural search in minutes! Say goodbye to stitching your search systems together and say hi to Jina!
Search anything
Use and get support for all kinds of data types with dozens of state-of-the-art deep learning libraries that work out of the box.
Plug and play
Easily extend and customize leveraging community-driven components. Build search pipelines in seconds.
Fast & cloud-native
Distributed architecture from day one, scalable & cloud-native by design: enjoy containerizing, streaming, paralleling, sharding, async scheduling, HTTP/gRPC/WebSocket protocols.
Some notable company that uses JinaAI
1)COOHOM
2)Worldlift
3)Huforce
4)YAHAHA
5)Delphai