embedding-strategies - Select and optimize embeddings for search
Guides embedding model selection, chunking, preprocessing, and quality optimization for vector search and RAG.
Tags
Updated: 2026-09-29Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Select embedding models
- Design chunking strategies
- Optimize embedding quality
- Compare model performance
- Reduce embedding dimensions
- Handle multilingual content
- Validate pipeline outcomes
Inputs
- Search requirements
- RAG requirements
- Source documents
- Domain information
- Model options
- Processing constraints
Outputs
- Model recommendations
- Chunked text
- Embedding vectors
- Pipeline configurations
- Implementation steps
- Verification results