embeddings

Features and purpose

Text embeddings for semantic search and similarity. Use when converting text to vectors, choosing embedding models, implementing chunking strategies, or building document similarity features.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.