Vector Databases

clip-retrieval

Compute CLIP embeddings and build retrieval systems easily

Status
Generally available
Last checked
Checked · Oct 12, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

clip-retrieval is a tool that simplifies the process of computing CLIP embeddings and building efficient retrieval systems. It's essential for developers looking to integrate image-text matching capabilities into their applications.

clip-retrieval stands out by offering a straightforward, open-source solution for CLIP embedding computation and retrieval system building, making it ideal for developers looking to integrate image-text matching without complex setup.

When it fits — and when it doesn’t

A good fit for

  • Developers building image-text retrieval systems who need a streamlined approach to CLIP embeddings

  • Projects requiring efficient and easy-to-implement visual search capabilities

Look elsewhere if

  • Teams needing real-time streaming or low-latency retrieval (batch processing focus)

  • Applications that require extensive customization beyond the provided features

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Performance bottlenecks in large-scale deployments

    Scalability issues reported when handling very large datasets or high request volumes

What it does well

  • Simplified CLIP embedding computation

  • Efficient retrieval system building

  • Open-source and MIT licensed

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up clip-retrieval

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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Markdown

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