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Jina AI Embeddings

The Jina AI Embeddings API enables developers to transform text, images, and more into dense vectors for similarity search and recommendation in AI applications.

Developed by Jina AI

99.95%Uptime
121msLatency
3.2kStars
API KeyAuth
NoCredit Card
RESTStyle
v1Version
API Endpoints

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

Creates embeddings from text input

Full Endpoint URL
https://api.jina.ai/embeddings
Implementation 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
Real-World Applications
  • Semantic searchOptimized Capability
  • Recommendation systemsOptimized Capability
  • Clustering and classification pipelinesOptimized Capability
  • Multimodal similarity searchOptimized Capability
  • AI-powered analyticsOptimized Capability
Advantages
  • Multimodal input support (text, image, etc.)
  • Low-latency and scalable throughput
  • Comprehensive SDKs and documentation
  • Configurable model sizes and batching options
Limitations
  • Requires sign-up and API key
  • Rate limits may require planning for high-throughput use
  • Pricing for large-scale usage may escalate
  • No SOAP or GraphQL support

FAQs

API Specifications

v1
Pricing Model
Pay-as-you-go plus paid tiers based on monthly embedding volume
Credit Card
Not Required
Response Formats
JSON
Supported Languages
5 Languages
SDK Support
Python, JavaScript, Go
Time to Hello World

Minutes

Rate Limit

1000 requests per minute

Free Tier Usage

1000 embeddings per month free, with rate limit of 10 requests per minute

Use Case: Best For

Developers building semantic search, recommendation, or AI-enhanced retrieval systems

Not Recommended For

Use cases requiring SOAP or GraphQL, extremely high-throughput needs without a rate limit plan

#semantic-search#embeddings

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