nomic-embed-text-v1.5

Name: nomic-embed-text-v1.5
Author: Nomic AI

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 (opens in a new tab)
API model name: nomic-embed-text
Context window: 2K tokens
Sizes: 137M
Licence: Apache 2.0

Run nomic-embed-text-v1.5

Install it on a Pendra worker, then call it through our SDK with your pdr_sk_ API key.

Read the quickstart

from pendra import Pendra

client = Pendra(api_key="pdr_sk_...")

response = client.embeddings.create(
    model="nomic-embed-text",
    input="The quick brown fox",
)

print(response.data[0].embedding)

import { Pendra } from "pendra";

const client = new Pendra({ apiKey: "pdr_sk_..." });

const response = await client.embeddings.create({
  model: "nomic-embed-text",
  input: "The quick brown fox",
});

console.log(response.data[0].embedding);

Run nomic-embed-text-v1.5 on infrastructure you trust.

Deploy a worker, install nomic-embed-text-v1.5, and start serving it through one private API.

Try it free Read the quickstart