published AI Powered

Nomic Atlas Embeddings

The Nomic Atlas Embeddings API offers developers a freemium solution to generate high-quality vector embeddings for powerful search and machine learning applications.

Developed by Nomic

View Source
99.95%Uptime
280msLatency
2.1kStars
API KeyAuth
NoCredit Card
RESTStyle
v1Version
API Endpoints

Reference for available routes, request structures, and live examples.

Creates embeddings with visualization support

Full Endpoint URL
https://api-atlas.nomic.ai/embed
Implementation 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
Real-World Applications
  • Semantic document searchOptimized Capability
  • ML pipeline feature engineeringOptimized Capability
  • Duplicate detection and clusteringOptimized Capability
  • AI-driven content recommendationsOptimized Capability
  • Real-time data analytics and visualizationOptimized Capability
Advantages
  • ✓ Easy-to-use REST API interface
  • ✓ Optimized for performance and scalability
  • ✓ Supports multiple data types (text, image)
  • ✓ Detailed documentation and example code
  • ✓ Freemium pricing for experimentation
Limitations
  • ✗ Requires API key signup
  • ✗ No direct GraphQL support
  • ✗ Limited regional availability (primarily US/EU)
  • ✗ Potential vector size limitations on free tier
  • ✗ May require normalization for custom ML tasks

FAQs

API Specifications

v1
Pricing Model
Freemium (pay-as-you-go for scale)
Credit Card
Not Required
Response Formats
JSON
Supported Languages
8 Languages
SDK Support
Python
Time to Hello World

Under 15 minutes for typical integration

Rate Limit

1000 requests/minute (free tier)

Free Tier Usage

Up to 100,000 vectors/month and 1,000 requests/minute; upgrade for higher limits.

Use Case: Best For

Developers and AI teams needing scalable, production-grade vector embeddings for search, clustering, and analytics projects.

Not Recommended For

Applications demanding on-premise deployment or certain regulatory restrictions.

Resources

Documentation Official Website Source Code Pricing Details Postman Collection
#semantic-search#embeddings

Explore Related APIs

Discover similar APIs to Nomic Atlas Embeddings

View All APIs
OPEN SOURCE

Ollama API

Ollama API provides developers free access to run large language models locally, ensuring privacy and low latency, suitable for various NLP applications.

Machine LearningView Details
FREEMIUM

SpeechBrain

SpeechBrain API offers a free and comprehensive platform for developers to integrate advanced speech processing capabilities into applications, including speech-to-text and speaker ID.

Machine LearningView Details
OPEN SOURCE

Haystack API

Haystack API assists developers in building RAG, semantic search, and QA applications using a robust framework from Deepset, facilitating production-grade AI integrations.

Machine LearningView Details