grepai-search-basics

SKILL.md

Semantic code search by meaning rather than exact text strings.

Searches code by intent and concept similarity using embeddings, returning ranked results with relevance scores (0.0–1.0)

Requires GrepAI initialization, an active index created via grepai watch, and a running embedding provider like Ollama

Supports natural language queries describing behavior or intent; 3–7 word phrases work best, with results limited via --limit flag

Interprets scores: 0.90+ excellent match, 0.80–0.89 good match, 0.70–0.79 related, below 0.60 weak match

GrepAI Search Basics

This skill covers the fundamentals of semantic code search with GrepAI.

When to Use This Skill

Learning GrepAI search

Performing basic code searches

Understanding semantic vs. text search

Interpreting search results

Prerequisites

GrepAI initialized (grepai init)

Index created (grepai watch)

Embedding provider running (Ollama, etc.)

What is Semantic Search?