nomic-ai/nomic-embed-text-v1
sentence-similarity model by nomic-ai
From the publisher
Model card & documentation
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Blog | Technical Report | AWS SageMaker | Atlas Embedding and Unstructured Data Analytics Platform nomic-embed-text-v1 is 8192 context length text encoder that surpasses OpenAI text-embedding-ada-002 and text-embedding-3-small performance on short and long context tasks. Exciting Update!: nomic-embed-text-v1 is now multimodal! nomic-embed-vision-v1 is aligned to the embedding space of nomic-embed-text-v1, meaning any text embedding is multimodal! Important: the text prompt must include a task instruction prefix, instructing the model which task is being performed. For example, if you are implementing a RAG application, you embed your documents as searchdocument: and embed your user queries as searchquery: . Notice: From transformers v5.5.0 and sentence transformers v5.3.0, trustremotecode=True will no longer be necessary. This will only be possible with the text-only series as of now. This prefix is used for embedding texts as documents, for example as documents for a RAG index. This prefix is used for embedding texts as questions that…
Read the full model card ↗ · Preview checked 2026-10-29T05:10:49.904Z
Inside the original model card — Document outline
- nomic-embed-text-v1: A Reproducible Long Context (8192) Text Embedder
- Performance Benchmarks
- Usage
- Task instruction prefixes
- searchdocument
- Purpose: embed texts as documents from a dataset
- searchquery
- Purpose: embed texts as questions to answer
- clustering
- Purpose: embed texts to group them into clusters
- classification
- Purpose: embed texts to classify them
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
nomic-ai/nomic-embed-text-v1 is a sentence-similarity model repository published by nomic-ai on Hugging Face. The source reports the sentence-transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- sentence-similarity
- Library
- sentence-transformers
- Recent downloads (30 days)
- 1,002,397
- Cumulative likes
- 597
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 136,731,648
- Architecture
- NomicBertModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2024-01-31T20:26:50.000Z
- Last modified
- 2026-04-07T14:16:41.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:31.802Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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