embedding
Embedding: Text embedding model for semantic search, document similarity, and RAG (Retrieval Augmented Generation) pipelines. Ideal for AI agent document processing automation. Works with Claude Code, Cursor, and MCP-compatible tool_use via SkillBoss.
$5000.00/M tokens · Pay-as-you-go
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Discover practical applications and real-world examples of how to use Embedding 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
SkillBoss works seamlessly with all major AI coding platforms. Install once and access Embedding from any of these tools using SkillBoss.
One installation, unlimited access. Install SkillBoss once and use Embedding across all these platforms without any additional configuration. Your SkillBoss balance works everywhere.
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.
