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Model card on Hugging Face
nomic-embed-text-v1.5
by Nomic AI
Embeddings
nomic-embed-text v1.5 is Nomic AI's open text-embedding model, producing high-quality vectors for search, retrieval, and RAG. It supports adjustable embedding dimensions via Matryoshka representation, letting you trade vector size for cost.
- Publisher
- Nomic AI
- Context window
- 2K tokens
- Licence
- Apache 2.0
Run nomic-embed-text-v1.5
Install it on a Pendra worker, then call it through the OpenAI-compatible API with a pdr_sk_ key.
from pendra import Pendra
client = Pendra(api_key="pdr_sk_...")
response = client.embeddings.create(
model="nomic-embed-text:nomic-embed-text-v1.5",
input="The quick brown fox",
)
print(response.data[0].embedding)
Run nomic-embed-text-v1.5 on your own UK infrastructure
Deploy a worker, install nomic-embed-text-v1.5, and start serving it through one sovereign API endpoint.