clip-as-service
-scalable embedding, reasoning, ranking for images and sentences with CLIP-
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Decision brief
Clip-as-service is a scalable cross-modal retrieval service using the CLIP model, offering server and client packages for Python. It requires Python 3.7+ and can use Pytorch, ONNX Runtime, or TensorRT runtimes.
Good fit when
- - When you need to efficiently encode images and sentences into embeddings for tasks like neural search, where scalability is a priority.
- - If your project involves multi-modality applications needing integration with different runtimes such as PyTorch, ONNX, or TensorRT.
Avoid when
- - Avoid if your environment does not support Python 3.7+.
- - The tool may be less suitable for small-scale projects where scalability and complex runtime configurations are unnecessary overheads.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (921d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install clip-as-serviceSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
CLIP-as-service offers scalable cross-modal retrieval using the CLIP model through a service-based architecture with server and client components.
Capability facts
- Languages
- python
Source: github.language · Aug 2, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 2, 2026)
CLIP-as-service consists of two Python packages `clip-server` and `clip-client` that can be installed _independently_.Source link
Tags
README
pip install clip-client
from clip_client import Client
c = Client( 'grpcs://-grpc.wolf.jina.ai', credential={'Authorization': ''}, )
r = c.encode( [ 'First do it', 'then do it right', 'then do it better', 'https://picsum.photos/200', ] ) print(r)
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---
## Install
CLIP-as-service consists of two Python packages `clip-server` and `clip-client` that can be installed _independently_. Both require Python 3.7+.
---
### Install server
<table>
<tr>
<td> Pytorch Runtime ⚡ </td>
<td> ONNX Runtime ⚡⚡</td>
<td> TensorRT Runtime ⚡⚡⚡ </td>
</tr>
<tr>
<td>
```bash
pip install clip-server
pip install "clip-server[onnx]"
pip install nvidia-pyindex
pip install "clip-server[tensorrt]"
You can also host the server on Google Colab, leveraging its free GPU/TPU.
Install client
pip install clip-client
For agents
This page has a .md twin and JSON over the API.