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Open weightsNomic AI/10 trustVerified
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Nomic Embed v2

The first MoE embedding model — 100+ languages, Apache 2.0, with training data included.

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About

Nomic Embed Text v2, released February 12, 2025, is the first general-purpose mixture-of-experts text embedding model. Of its 475 million parameters only 305 million are active per token, keeping inference cheap while covering 100+ languages. Nomic published the weights, training data, and code under Apache 2.0, and the 768-dimensional outputs support Matryoshka truncation to 256 dims. It needs Nomic's specific search_query/search_document prompt prefixes to perform best.

Specs

Context window

512

Pricing

Free quota

API access

Weights

Open weights

Released

February 12, 2025

Benchmarks

Nomic-reported: SOTA on multilingual MIRACL for its size class.

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

semantic searchRAGmultilingual retrievalclustering

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Released Feb 12, 2025; Apache-2.0 including training data and code; First general-purpose MoE embedding model (475M total / 305M active). License: Apache-2.0..

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
8.0/10
Maintenance · recency, releases, issue load
8.0/10
Openness · license + docs
10.0/10
Manual review · sanity read + red-flag check
8.0/10
  • · Released Feb 12, 2025
  • · Apache-2.0 including training data and code
  • · First general-purpose MoE embedding model (475M total / 305M active)

Sources