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  4. Jina AI Embeddings API
published AI Powered

Jina AI Embeddings API

The Jina AI Embeddings API provides developers with access to state-of-the-art embeddings for text and multimodal data, suitable for search and recommendation systems.

Developed by Jina AI

Live API
99.95%Uptime
300msLatency
15kStars
No AuthAuth
NoCredit Card
RESTStyle
v1Version

Reference

API Endpoints

Endpoints

Available routes, request structures, and code examples.

Creates embeddings from text input

Endpoint URL
https://api.jina.ai/embeddings
Code Example
curl -X POST 'https://api.jina.ai/embeddings' \
  -H 'Authorization: Bearer YOUR_API_KEY'
Request Payload
{
  "input": [
    "The quick brown fox"
  ],
  "model": "jina-embeddings-v2-base-en"
}
Expected Response
{
  "data": [
    {
      "embedding": [
        0.1,
        -0.2,
        0.3
      ]
    }
  ],
  "model": "jina-embeddings-v2-base-en",
  "usage": {
    "total_tokens": 4
  }
}
Version:v1
Limit:5000 tokens/minute

Integration

Quick Start

cURL ExampleREST
curl -X GET "https://api.jina.ai/v1/v1/embeddings"

Docs

Technical Documentation

What this API does

The Jina AI Embeddings API enables developers to transform text, images, and multimodal data into high-quality dense vector embeddings. These embeddings serve as numerical representations that are essential for powering search engines, recommendation systems, and various machine learning tasks. The API supports 89 languages, making it a versatile choice for global applications.

How it works

Through a simple RESTful interface, developers can send data and retrieve JSON responses containing embedding vectors, facilitating seamless integration with modern development frameworks. The API includes endpoints for single and batch processing, enhancing developer productivity and scalability.

Authentication

No authentication is required to access the Jina AI Embeddings API. This allows immediate access and eliminates barriers to entry for developers.

Example usage

  • /embeddings/text - Converts input text into a dense vector embedding.
  • /embeddings/image - Transforms input images into vectorized embeddings.
  • /embeddings/multimodal - Handles input data containing both text and images for vectorization.

Limits

Developers receive 1 million free tokens upon signup. Specific rate limits are not documented.

Ideal use cases

  • Implementing semantic search features in applications.
  • Developing recommendation systems based on user input.
  • Integrating AI capabilities in mobile and web applications.
  • Enhancing existing workflows with advanced embeddings.

Examples

Real-World Applications

  • Building recommendation systems that leverage vector similarity
  • Implementing scalable semantic search across multiple languages
  • Integrating AI features such as text and image embeddings into mobile and web applications
  • Enhancing machine learning models with dense vector representations
  • Supporting multimodal data analysis in AI workflows

Evaluation

Advantages & Limitations

Advantages
  • ✓ No authentication required, enabling quick start
  • ✓ Supports 89 languages including multilingual embeddings
  • ✓ Includes batch processing for efficient data handling
  • ✓ Generous free tier with 1 million tokens upon signup
Limitations
  • ✗ No specified rate limit documentation may require developer caution
  • ✗ Limited to JSON response format only
  • ✗ No official SDK support for less common programming languages
  • ✗ Lacks built-in authentication for production security needs

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 monthly subscription options
Credit Card
Not Required
Response Formats
JSON
Supported Languages
8 Languages
SDK Support
Python, JavaScript
Rate Limit

1000 requests per minute

Time to Hello World

Minutes to integrate via RESTful JSON API

Free Tier

1 million free tokens on signup without the need for a credit card

Best For

Developers needing fast, easy access to advanced multilingual embeddings for search and recommendation

Not Ideal For

Projects requiring strict API key authentication or extensive XML support

Tags

#vectors#multimodal#jina-ai#Rag#Multilingual#semantic-search#embeddings#ai

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