Turn text and code into vectors for semantic search.
What it does
Generates vector embeddings from text, code, or documents for semantic search, similarity comparison, and clustering.
When to use it
Use when text, code, or documents need vector representations for semantic search, similarity comparison, or clustering.
How to use it
Give it text or a file path; it generates an embedding and reports its dimension, norm, and any output path written.
What you provide
- text or a file path
Uses
AG
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What you need · 0
No setup requirements listed.
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This skill
AgentDB
Write
Stores vector metadata in AgentDB
ruvector
Execute
Installs the pinned ruvector package