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  4. Nomic Atlas Embeddings API
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Nomic Atlas Embeddings API

The Nomic Atlas Embeddings API provides developers with access to high-quality embeddings for text and image data, designed for advanced AI applications.

Developed by Nomic AI

Live API
99.90%Uptime
200msLatency
1.2kStars
API KeyAuth
NoCredit Card
RESTStyle
v1Version

Reference

API Endpoints

Endpoints

Available routes, request structures, and code examples.

Creates embeddings with visualization support

Endpoint URL
https://api-atlas.nomic.ai/embed
Code Example
curl -X POST 'https://api-atlas.nomic.ai/embed' \
  -H 'Authorization: Bearer YOUR_API_KEY'
Request Payload
{
  "texts": [
    "embed me",
    "and me too"
  ],
  "task_type": "search_document"
}
Expected Response
{
  "model": "nomic-embed-text-v1.5",
  "embeddings": [
    [
      0.1,
      0.2,
      0.3
    ],
    [
      -0.1,
      0.3,
      -0.2
    ]
  ]
}
Version:v1
Limit:1000 embeddings/minute

Integration

Quick Start

cURL ExampleREST
curl -X GET "https://api-atlas.nomic.ai/v1/embed/text"

Docs

Technical Documentation

What this API does

The Nomic Atlas Embeddings API is a RESTful service that allows developers to generate high-quality vector embeddings from text and image data. It utilizes an 8,000-token context window to enhance precision, making it suitable for applications that require semantic understanding and analysis.

How it works

Developers can send HTTP requests to specified endpoints for processing text and image inputs. The API provides responses in JSON format, enabling straightforward integration into various AI and machine learning workflows. By converting complex inputs into dense numerical vectors, the API supports efficient similarity matching and analytics.

Authentication

Authentication is managed through an API key, ensuring secure access to the service. Developers must obtain an API key from the Nomic Atlas platform to use the API.

Example usage

  • /generate/text - Generates a vector embedding from provided text.
  • /generate/image - Produces a vector embedding from an image input.

Limits

The API offers a free tier, allowing developers to use up to 100,000 tokens per month. Further limits are not specified in the documentation.

Ideal use cases

  • Building semantic search features in applications.
  • Creating recommendation engines based on content.
  • Implementing clustering algorithms for data analysis.
  • Integrating embeddings in AI-driven applications for enhanced user experiences.

Examples

Real-World Applications

  • Building semantic search engines that require fast similarity comparisons.
  • Enhancing recommendation systems using high-quality embeddings.
  • Utilizing embeddings for clustering algorithms in machine learning.
  • Integrating AI-driven data analytics solutions.
  • Developing natural language processing applications for text understanding.

Evaluation

Advantages & Limitations

Advantages
  • ✓ Open-source model weights under Apache 2.0 license.
  • ✓ Supports both text and image embeddings with the same API.
  • ✓ Generous free tier with 100,000 tokens/month and no credit card required.
  • ✓ Large 8K token context window enabling better contextual embeddings.
Limitations
  • ✗ Rate limits are not explicitly detailed in the official docs.
  • ✗ Limited SDK availability; primarily REST API only.
  • ✗ May require additional tuning for highly specialized use cases.
  • ✗ Less mature ecosystem compared to some large commercial embedding providers.

Support

Frequently Asked Questions

Important Notice

Verify Before You Decide

Last verified · Apr 30, 2026

The details on this page — including pricing, features, and availability — are based on our last review and may not reflect the provider's current offering. Providers update their products frequently, sometimes without prior notice.

What may have changed

Pricing Plans
Features & Limits
Availability
Terms & Policies

Always visit the official provider website to confirm the latest pricing, terms, and feature availability before subscribing or integrating.

Check official site

External Resources

Documentation Official Website Pricing Details Postman Collection

API Specifications

v1
Pricing Model
Pay-as-you-go with metered token usage beyond free tier
Credit Card
Not Required
Response Formats
JSON
Supported Languages
6 Languages
SDK Support
Python
Rate Limit

Up to 60 requests per minute

Time to Hello World

Less than 10 minutes to get API key and start embedding requests

Free Tier

100,000 free tokens per month with no credit card required

Best For

Developers building AI applications requiring fast, scalable embeddings for text and images

Not Ideal For

Projects needing extensive offline/on-premise embedding generation without cloud access

Tags

#vectors#multimodal#Nomic#Rag#semantic-search#embeddings#ai#open-source

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