grepai-search-basics

Semantic code search locates relevant code based on meaning rather than exact text strings. It enables natural language queries to describe intent and retrieve related functionality across large codebases.

You can search a large codebase by using natural language queries to describe functionality and intent. Semantic search interprets the meaning of your query to retrieve relevant code snippets and navigate project usage.

The best way to find function usage and code intent is using semantic code search. It identifies related functionality beyond exact strings, allowing developers to quickly understand code usage across large software projects.

Semantic search does not require exact text matches to locate relevant code. It processes natural language queries to find code based on meaning, helping developers identify related functionality without knowing specific variable names.

You can use natural language queries to navigate and understand code in large projects. Semantic search interprets your query's meaning to provide concise, reproducible results that explain function usage and code intent.

Semantic code search provides reproducible search outputs. By indexing the codebase and processing natural language queries based on meaning, it consistently retrieves the same relevant code snippets for identical search intents.