Project AURIONAI Use-Cases Research & Innovation
embeddingfamily

Nomic Embed Text v1

Fully open long-context English text embedder (8,192 tokens) with released training data and code; v1.5 adds Matryoshka resizable vectors.

Nomic AINomic AIUSA
Nomic AI
Levelfamily
Classembedding
Parametersnot in the notes
Contextnot in the notes
Released31 Jan 2024
Opennessopen weights permissive
Runs onnot in the notes
Statusactive

Lineage

Nomic AInomic-embed-text-v1.5 belongs to this familyembedding10 Feb 2024136.73M
Nomic AInomic-embed-text-v1 belongs to this familyembedding31 Jan 2024136.73M
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.

R&D Topics

Retrieval-augmented generation (RAG)used byText embeddings for semantic searchproduced by

Identity

Developer
Nomic AI
Family
not in the notes
Released
31 Jan 2024 sourcesregistry date
Weights published
–
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
dense transformer
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
text
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights permissive
Licence
Apache License 2.0 sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
Model card languages: en
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/2402.01613 https://arxiv.org/abs/2402.01613
  2. huggingface.co/api/models?pipeline_tag=sentence-similarity&s... https://huggingface.co/api/models?pipeline_tag=sentence-similarity&sort=downloads&limit=50
  3. aihub.qualcomm.com/models/nomic_embed_text https://aihub.qualcomm.com/models/nomic_embed_text
  4. huggingface.co/nomic-ai/nomic-embed-text-v1 https://huggingface.co/nomic-ai/nomic-embed-text-v1
  5. huggingface.co/nomic-ai/nomic-embed-text-v1.5 https://huggingface.co/nomic-ai/nomic-embed-text-v1.5

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Nomic Embed Text v1", https://aurion.semai.id/models/nomic-ai-nomic-embed-text-v1-family/, records of October 2026.