embedding-strategies - Select and optimize embeddings for vector search
Guides embedding model selection, chunking, preprocessing, dimension reduction, and quality optimization for semantic search and RAG.
Tags
Updated: 2026-09-29Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Select embedding models
- Optimize chunking strategies
- Preprocess source text
- Compare model performance
- Reduce embedding dimensions
- Handle multilingual content
- Validate embedding quality
Inputs
- Search goals
- System constraints
- Source documents
- Embedding model options
- Chunking parameters
- Preprocessing rules
Outputs
- Model selection guidance
- Chunking recommendations
- Embedding pipeline code
- Embedding vectors
- Validation steps