Description
Code can be searched semantically with vector embeddings from a privacy-focused command-line tool. It is useful for developers who want concept-based search beyond exact text matches.
Semantic indexes may contain proprietary code, paths, and architecture details. Store indexes securely and confirm whether any model or embedding step uses network services.