Jina NOW - get your neural search case up and running in minutes.
Project description
One line to host them all. Bootstrap your image search case in minutes.
NOW gives the world access to customized neural image search in just one line of code. Main features
- 🐥 Easy: Minimal effort required to set up your search case
- 🐎 Fast: Set up your search case within minutes
- 🌈 Quality: If you provide labels to your documents, Jina NOW fine-tunes a model for you
- 🌳 Reliable: We take care of the deployment and maintenance (coming soon)
- ✨ Nocode: Deployment can be done by non-technical people
Installation
pip install jina-now
In case you need sudo for running Docker, install and use jina-now using sudo as well.
Mac M1
For the Mac M1 it is generally recommended using a conda environment as outlined in the Jina documentation.
In a new conda environment first execute conda install grpcio tokenizers protobuf. Then run pip install jina-now.
Usage
jina now [start | stop] --data [<pushpullid> | <localpath> | <url>] --quality [medium | good | excellent] --cluster <k8s-cluster-name>
Quick Start
jina now start
Use CLI Parameters
jina now start --quality medium --data /local/img/folder
Use API
You can now send requests to the API using the jina client. This case shows a local deployment.
from jina import Client
client = Client(
host='localhost',
port=31080,
)
response = client.search(
Document(text=search_text), # or in case you send an image: Document(url=image_path),
parameters={"limit": 9, "filter": {}},
)
Cleanup
jina now stop
Requirements
LinuxorMacPython 3.7,3.8,3.9or3.10
Local execution
Dockerinstallation- 10 GB assigned to docker
- User must be permitted to run docker containers
Google Cloud deployment
- Billing account enabled
Jina Flow as a service
- No further requirements (coming soon)
Supported Modalities (more will be added)
- Text
- Image
- Audio
- Video
- 3D mesh
- ...
Examples
👕 Fashion
☢️ Chest X-Ray
💰 NFT - bored apes
🖼 Art
🚗 Cars
🏞 Street view
🦆 Birds
Now use your custom data :)
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