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.
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.
via PyPI: pip install jina
via Conda: conda install jina -c conda-forge
via Docker: docker run jinaai/jina:latest
Fashion image search: jina hello fashion
QA chatbot: pip install "jina[demo]" && jina hello chatbot
Multimodal search: pip install "jina[demo]" && jina hello multimodal
Get started with neural search in minutes! Say goodbye to stitching your search systems together and say hi to Jina!
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.
Easily extend and customize leveraging community-driven components. Build search pipelines in seconds.
Distributed architecture from day one, scalable & cloud-native by design: enjoy containerizing, streaming, paralleling, sharding, async scheduling, HTTP/gRPC/WebSocket protocols.
1)COOHOM
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