概要
The Embeddings skill provides standardized patterns for converting text into vector representations, a critical component for modern AI applications like Retrieval-Augmented Generation (RAG). It guides developers through selecting appropriate models—ranging from OpenAI's high-performance models to local Ollama alternatives—and implementing efficient chunking strategies that maintain semantic context. By providing ready-to-use patterns for batch processing, similarity calculation, and dimension reduction, this skill ensures production-ready vector implementations while avoiding common pitfalls like redundant API calls and context loss.
