Nomic Embed Text v1.5

EmbeddingsUnavailable

by Communitynomic-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.

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Status: Unavailable
Context: 8,192 tokens
Input → output: Text → Vector
Developer: Community
Updated: September 23, 2026

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OpenAI text-embedding-3-largeOpenAI
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Input & output

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Text

0 / 8,000

Text to embed, prefixed with a task tag such as 'search_query: ' or 'search_document: '

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Output

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About Nomic Embed Text v1.5

TL;DRAs of September 23, 2026

Nomic Embed Text v1.5 is a model by Community in the Embeddings category. Nomic Embed Text v1.5 is currently not available on Railwail. The context window holds 8,192 tokens.

nomic-embed-text-v1.5 from Nomic AI is a long-context English embedding model released with open weights, open training data and open code for full reproducibility. It handles inputs up to 8192 tokens and was trained with Matryoshka representation learning, which means the 768-dim output can be truncated to smaller sizes (down to 64 dims) while keeping most of its retrieval quality, useful for cutting storage and search cost. Inputs are prefixed with task tags such as search_query, search_document, classification or clustering. Served through the Hugging Face feature-extraction pipeline; mean-pool and L2-normalize the token outputs.

Pricing

Currently unavailable. There is no price for this model at the moment, so it cannot be run.

API

Call Nomic Embed Text v1.5 with your Railwail API key. Use this model ID in the request:

nomic-embed-text-v1-5API documentation Get an API key

Currently unavailable

The model has no verified price or is deactivated; API calls are refused.

Specifications

Model ID: nomic-embed-text-v1-5
Developer: Community
Category: Embeddings
Input: Text
Output: Vector
Context window: 8,192 tokens
Catalog entry updated: September 23, 2026

Input parameters

Inputs and settings from the model's input schema. The example in the API section shows which of them the API accepts.

ParameterTypeDefaultAllowed values

inputsrequired
Text to embed, prefixed with a task tag such as 'search_query: ' or 'search_document: '
Type: Text
Default: –
Allowed values: up to 8,000 characters

Use cases

Related guides

Embedding Models for Search & Science

All models in Embeddings

Frequently asked questions

What is Nomic Embed Text v1.5?

Nomic Embed Text v1.5 is a model by Community in the Embeddings category. It is listed on Railwail but cannot be run at the moment.

How much does Nomic Embed Text v1.5 cost on Railwail?

Nomic Embed Text v1.5 cannot be run on Railwail at the moment, so there is no current price. Available alternatives with prices are listed further down this page.

What is the context window of Nomic Embed Text v1.5?

The context window of Nomic Embed Text v1.5 holds 8,192 tokens.

How fast is Nomic Embed Text v1.5?

There are not enough measured runs of Nomic Embed Text v1.5 on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.

Is Nomic Embed Text v1.5 better than OpenAI text-embedding-3-large?

That depends on the task. Nomic Embed Text v1.5 (Community) and OpenAI text-embedding-3-large (OpenAI) are both models in the Embeddings category. The comparison page shows their prices and specifications side by side.

Compare Nomic Embed Text v1.5 and OpenAI text-embedding-3-large

Can I use Nomic Embed Text v1.5 right now?

Currently unavailable. The page stays online; available alternatives from the same category are listed further down.

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