Nomic Embed Text v1.5
Nomic AI open embedding model with a fully reproducible training pipeline (open weights, data and code). Supports an 8192-token context and Matryoshka representation learning, so you can truncate the 768-dim output down to 64 dims with graceful quality loss. Uses task prefixes like search_query and search_document.
Nomic Embed Text v1.5 is embeddings AI model from huggingface, priced at €0.000 per 1M input tokens with a 8.2K tokens context window.
About this model
Pricing
API Integration
Use our OpenAI-compatible API to integrate Nomic Embed Text v1.5 into your application.
npm install railwailimport railwail from "railwail";
const rw = railwail("YOUR_API_KEY");
const vectors = await rw.run("nomic-embed-text-v1-5", "Hello world", { type: "embed" });
console.log(vectors[0].length); // embedding dimensions
// Or use the embed() method for full control
const res = await rw.embed("nomic-embed-text-v1-5", ["Hello", "World"]);
for (const item of res.data) {
console.log(item.embedding.length);
}Frequently asked questions
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