Nomic Embed Text v1
Fully-open 8K embeddings — Apache 2.0 with open data and training code, 2.5M downloads.
About
Nomic Embed Text v1 (February 2024) is the fully-open embedding model: Apache 2.0 weights plus open training data and open training code — reproducibility that no competitor matched. 8K context via rotary position interpolation, 2.5M Hugging Face downloads.
Apache 2.0 licensed — commercial use allowed. The openness story (data + code + weights) is the signature virtue, and the model itself was competitive on MTEB at release. A 2024 model now superseded by Nomic Embed v2 (MoE) on quality, but v1 remains the reproducibility reference. For organizations that need to audit their embedding model's training data, this is the answer.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-claimed at release (2024): competitive MTEB — treat as provider-claimed and dated. Superseded by Nomic Embed v2.
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 7/10
Scored 7/10 (metrics tier). The fully-open story (weights + data + code, Apache 2.0) is unmatched, with 2.5M downloads of community validation. Docked three points: (1) superseded by Nomic Embed v2 on quality; (2) benchmark claims are dated provider reports; (3) 2024-era. Choose for auditability and reproducibility.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 8.7/10
- Maintenance · recency, releases, issue load
- 4.0/10
- Openness · license + docs
- 9.4/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · HF downloads 2,519,426 (peer-normalized)
- · released 976 days ago
- · manual review: fully-open story unmatched; superseded by Nomic Embed v2 on quality; license: Apache-2.0 (weights + data + code fully open)