Text embeddings for semantic search and similarity. Covers model selection (OpenAI text-embedding-3, nomic-embed), chunking strategies, batch processing, cosine similarity, and vector DB integration. Use when: converting text to vectors, choosing embedding models, implementing chunking, or setting up semantic search. Triggers on: embeddings, text-embedding, vector, chunking, cosine similarity, semantic search vectors, embedding model, batch embed, dimension reduction
How to install embeddings?
ariegoldkin/claude-forge/embeddings
$npx -y skills add ariegoldkin/claude-forge --skill embeddingsInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ariegoldkin/claude-forge" --skill "ariegoldkin/claude-forge/embeddings"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ariegoldkin/claude-forge" that are relevant to the current task. Run `npx skills add "https://github.com/ariegoldkin/claude-forge"` and select the relevant skills, then follow their instructions.
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