openai/text-embedding-3-small
Lightweight embedding model with 1536 dimensions, fast response, 5x lower cost. Ideal for latency-sensitive apps, storage-constrained scenarios, and large-scale retrieval.
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curl -X POST 'https://api.skillboss.co/v1/embeddings' \
-H 'Authorization: Bearer $SKILLBOSS_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"model": "openai/text-embedding-3-small",
"input": "The quick brown fox jumps over the lazy dog"
}'Discover practical applications and real-world examples of how to use OpenAI Embedding Small with SkillBoss.
Build search systems that understand meaning, not just keywords
Recommend similar content, products, or articles to users
Group similar content automatically based on semantic similarity
Find duplicate or near-duplicate content efficiently
Build retrieval-augmented generation systems with vector databases
Embeddings are numerical representations of text or images that capture semantic meaning. They enable powerful features like semantic search, recommendation systems, and similarity matching.
Sign up for SkillBoss, add credit to your balance, get an API key, and use our embedding API endpoints. Send text or images and receive high-dimensional vectors that can be stored and compared.
SkillBoss supports multiple embedding models including Jina AI embeddings, OpenAI embeddings, and more. Choose the model that best fits your dimensionality and accuracy needs.
Embedding costs are typically per token or per API call in USD. Prices vary by model but are generally very affordable for most use cases. Check our pricing page for exact rates.
Yes, some embedding models like Jina support multimodal inputs including text and images. Perfect for building advanced search systems that understand multiple content types.
Get your API key at skillboss.co/console — $2 free credit, no credit card.