Embeddingdocument-embedding

Retrieve Knowledge

document/retrieve-knowledge

Use retrieve-knowledge to extract and process document information for AI agents. Ideal for Claude Code automation, data extraction workflows, and intelligent document analysis tasks.

$0.260/M tokens · Pay-as-you-go

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Use Cases for Retrieve Knowledge

Discover practical applications and real-world examples of how to use Retrieve Knowledge with SkillBoss.

Semantic Search

Build search systems that understand meaning, not just keywords

Example:Create a documentation search that finds relevant content by meaning

Recommendation Systems

Recommend similar content, products, or articles to users

Example:Build a "similar products" feature for your e-commerce site

Content Clustering

Group similar content automatically based on semantic similarity

Example:Automatically categorize support tickets by topic

Duplicate Detection

Find duplicate or near-duplicate content efficiently

Example:Detect plagiarism or duplicate submissions

RAG Applications

Build retrieval-augmented generation systems with vector databases

Example:Create a chatbot that answers questions using your documentation

Use Retrieve Knowledge with Your Favorite Coding Agent

SkillBoss works seamlessly with all major AI coding platforms. Install once and access Retrieve Knowledge from any of these tools using SkillBoss.

One installation, unlimited access. Install SkillBoss once and use Retrieve Knowledge across all these platforms without any additional configuration. Your SkillBoss balance works everywhere.

Use Retrieve Knowledge in Coding Agents

Agent Framework
OpenClaw
CLI
Claude Code
Desktop
Claude Cowork
IDE
Cursor
IDE
Windsurf
IDE
Kiro
CLI
Gemini CLI
CLI
Codex CLI
Agent Framework
Trae
Agent Framework
Roo Code

Frequently Asked Questions about Retrieve Knowledge

What are embeddings and why use them?

Embeddings are numerical representations of text or images that capture semantic meaning. They enable powerful features like semantic search, recommendation systems, and similarity matching.

How do I generate embeddings with SkillBoss?

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.

What embedding models are available?

SkillBoss supports multiple embedding models including Jina AI embeddings, OpenAI embeddings, and more. Choose the model that best fits your dimensionality and accuracy needs.

How much do embeddings cost?

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.

Can I use embeddings for multimodal search?

Yes, some embedding models like Jina support multimodal inputs including text and images. Perfect for building advanced search systems that understand multiple content types.