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ThinEmbed

Compressed query encoders for embedding models that run in the browser

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Query encoders compressed for efficient embedding search with unchanged document indices. Runs in the browser on WebGPU, supporting multiple base models like

About ThinEmbed

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The ThinEmbed homepage

ThinEmbed provides compressed query encoders for embedding models optimized for browser deployment. The compression approach maintains the original document index unchanged while compressing only the query encoder side, enabling fast semantic search in web environments. The encoders are available in multiple compression levels (from 1.83 to 3.57 bits per weight) and support various base models including Qwen3-Embedding-0.6B and microsoft/harrier-oss-v1-0.6b. The system can run on WebGPU with shader-f16 support in browsers like Chrome and Edge.

The project includes pre-compiled files, npm and PyPI packages for measurement and deployment, and comprehensive benchmarking results on multiple datasets including SciFact, NFCorpus, ArguAna, SciDocs, and Czech WebFAQ-cs. Quality is measured against the full-precision model's performance, with results showing nDCG@10 retention between 94% and 101.3% of the original model depending on the compression level and dataset.

  • open-source
  • browser
  • semantic-search
  • embeddings
  • webgpu
  • quantization

Features worth knowing

  • Runs in the browser with WebGPU support (Chrome, Edge)
  • Multiple compression levels from 1.83 to 3.57 bits per weight
  • Preserves unchanged document embedding index
  • Available as npm package and PyPI module
  • Comprehensive benchmarking on SciFact, NFCorpus, ArguAna, SciDocs, and WebFAQ-cs
  • Pre-registered measurements with paired bootstrap intervals

Pricing

Pricing model: Open source

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ThinEmbed metrics

Scan results for moravian.ai from Ahrefs (Domain Rating) and Majestic (links); arrows mark the change since the last scan.
MetricValue
Domain Rating0 no change since last check
Trust Flow0 no change since last check
Citation Flow0 no change since last check
Referring domains0 no change since last check
External backlinks0 no change since last check

Ahrefs Domain Rating scanned 6 Nov 2026, updated 3 Nov 2026. Majestic scanned 3 Nov 2026, updated 3 Nov 2026. Link stats via Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

ThinEmbed domain facts

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From the registry's public RDAP record, checked 6 Nov 2026, 17:51 UTC.
Domain age7 days
Registered
Expires
RegistrarNameCheap, Inc.
DNSSECNot signed

More about moravian.ai's registration

ThinEmbed launch results

ThinEmbed went live on Best Digital Launch on 3 November 2026. Here is what our readings show since then.
MeasureAt launch, then latest
Domain Rating (Ahrefs)0 to 0 no change since launch
3 Nov 2026, then 5 Nov 2026
Trust Flow (Majestic)0
first measured 3 Nov 2026
Referring domains (Majestic)0
first measured 3 Nov 2026

Day 2 since launch. Next receipt: day 30, 3 Dec 2026. The figures report a change; they do not say what caused it, and many things can. No figure here is a guess.

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FAQ

Does compressing the query encoder require re-encoding documents?
No. The compression only affects the query encoder. The document index stays exactly as it is, so existing indices do not need to be re-encoded or modified.
What browser runtime does ThinEmbed require?
ThinEmbed requires WebGPU with shader-f16 support and runs in Chrome and Edge. There is no CPU fallback available; WebGPU is mandatory.

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