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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
Reference for available routes, request structures, and live examples.
Creates embeddings from text input
https://api.jina.ai/embeddingscurl -X POST 'https://api.jina.ai/embeddings' \
-H 'Authorization: Bearer YOUR_API_KEY'{
"input": [
"The quick brown fox"
],
"model": "jina-embeddings-v2-base-en"
}{
"data": [
{
"embedding": [
0.1,
-0.2,
0.3
]
}
],
"model": "jina-embeddings-v2-base-en",
"usage": {
"total_tokens": 4
}
}- Semantic searchOptimized Capability
- Recommendation systemsOptimized Capability
- Clustering and classification pipelinesOptimized Capability
- Multimodal similarity searchOptimized Capability
- AI-powered analyticsOptimized Capability
- ✓ Multimodal input support (text, image, etc.)
- ✓ Low-latency and scalable throughput
- ✓ Comprehensive SDKs and documentation
- ✓ Configurable model sizes and batching options
- ✗ 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
v1Minutes
1000 requests per minute
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
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