raggrep

RAGgrep

Local semantic search for codebases — find code using natural language queries.

RAGgrep indexes your code and lets you search it using natural language. Everything runs locally — no external API calls required.

Features

• Zero-config search — Just run raggrep query and it works. Index is created and updated automatically.
• Multi-language support — Deep understanding of TypeScript, JavaScript, Python, Go, and Rust with AST-aware parsing.
• Vocabulary-based search — Search user to find getUserById, fetchUserData, UserService, etc. Understands code naming conventions.
• Local-first — All indexing and search happens on your machine. No cloud dependencies.
• Incremental — Only re-indexes files that have changed. Instant search when nothing changed.
• Watch mode — Keep the index fresh in real-time as you code.
• Hybrid search — Combines semantic similarity with keyword matching for best results.
• Literal boosting — Exact identifier matches get priority. Use backticks for precise matching: `AuthService`.
• Semantic expansion — Domain-specific synonyms improve recall (function ↔ method, auth ↔ authentication).

Installation

# Install globally
npm install -g raggrep

# Or use without installing
npx raggrep query "your search"

Usage

Search Your Code

cd your-project
raggrep query "user authentication"

That's it. The first query creates the index automatically. Subsequent queries are instant if files haven't changed. Modified files are re-indexed on the fly.

Example Output

Index updated: 42 indexed

RAGgrep Search
==============

Searching for: "user authentication"

Found 3 results:

1. src/auth/authService.ts:24-55 (login)
   Score: 34.4% | Type: function | via TypeScript | exported
      export async function login(credentials: LoginCredentials): Promise<AuthResult> {
        const { email, password } = credentials;

2. src/auth/session.ts:10-25 (createSession)
   Score: 28.2% | Type: function | via TypeScript | exported
      export function createSession(user: User): Session {

3. src/users/types.ts:3-12 (User)
   Score: 26.0% | Type: interface | via TypeScript | exported
      export interface User {
        id: string;

Watch Mode

Keep your index fresh in real-time while you code:

raggrep index --watch

This monitors file changes and re-indexes automatically. Useful during active development when you want instant search results.

┌─────────────────────────────────────────┐
│  Watching for changes... (Ctrl+C to stop) │
└─────────────────────────────────────────┘

[Watch] language/typescript: 2 indexed, 0 errors

CLI Reference

Commands

raggrep query <query>    # Search the codebase
raggrep index            # Build/update the index
raggrep status           # Show index status
raggrep reset            # Clear the index

Query Options

raggrep query "user login"                    # Basic search
raggrep query "error handling" --top 5        # Limit results
raggrep query "database" --min-score 0.2      # Set minimum score threshold
raggrep query "interface" --type ts           # Filter by file extension
raggrep query "auth" --filter src/auth        # Filter by path
raggrep query "api" -f src/api -f src/routes  # Multiple path filters
raggrep query "\`AuthService\` class"         # Exact identifier match (backticks)

Flag	Short	Description
--top <n>	-k	Number of results to return (default: 10)
--min-score <n>	-s	Minimum similarity score 0-1 (default: 0.15)
--type <ext>	-t	Filter by file extension (e.g., ts, tsx, js)
--filter <path>	-f	Filter by path or glob pattern (can be used multiple times)
--help	-h	Show help message

Filtering by File Type

Use glob patterns with --filter to search specific file types:

# Search only source code files
raggrep query "service controller" --filter "*.ts"
raggrep query "component state" --filter "*.tsx"

# Search only documentation
raggrep query "deployment workflow" --filter "*.md"

# Search test files
raggrep query "mock setup" --filter "*.test.ts"

# Combine with path prefix
raggrep query "api handler" --filter "src/**/*.ts"

Multiple Filters (OR Logic)

Use multiple --filter flags to match files that match any of the patterns:

# Search TypeScript OR TSX files
raggrep query "component" --filter "*.ts" --filter "*.tsx"

# Search in multiple directories
raggrep query "api" --filter src/api --filter src/routes

# Mix glob patterns and path prefixes
raggrep query "config" --filter "*.json" --filter "*.yaml" --filter config/

This is useful when you know whether you're looking for code or documentation.

Index Options

raggrep index                        # Index current directory
raggrep index --watch                # Watch mode - re-index on file changes
raggrep index --verbose              # Show detailed progress
raggrep index --concurrency 8        # Set parallel workers (default: auto)
raggrep index --model bge-small-en-v1.5  # Use specific embedding model

Flag	Short	Description
--watch	-w	Watch for file changes and re-index automatically
--verbose	-v	Show detailed progress
--concurrency <n>	-c	Number of parallel workers (default: auto based on CPU)
--model <name>	-m	Embedding model to use
--help	-h	Show help message

Other Commands

raggrep status           # Show index status and statistics
raggrep reset            # Clear the index completely
raggrep --version        # Show version

How It Works

• First query — Creates the index (takes 1-2 min for ~1000 files)
• Subsequent queries — Uses cached index (instant if no changes)
• Files changed — Re-indexes only modified files automatically
• Files deleted — Stale entries cleaned up automatically

The index is stored in a system temp directory, keeping your project clean.

What Gets Indexed

Supported Languages

TypeScript/JavaScript (.ts, .tsx, .js, .jsx, .mjs, .cjs)

• AST-parsed for functions, classes, interfaces, types, enums
• Full file chunks for broad context
• JSDoc and comment association

Python (.py)

• AST-parsed for functions, classes, decorators
• Docstring extraction and association
• Fallback regex parsing for robustness

Go (.go)

• AST-parsed for functions, methods, structs, interfaces
• Doc comment extraction (// style)
• Exported symbol detection

Rust (.rs)

• AST-parsed for functions, structs, traits, impls, enums
• Doc comment extraction (/// and //! style)
• Visibility detection (pub)

Markdown (.md)

• Hierarchical chunking at multiple heading levels (H1-H5)
• Each heading level creates separate searchable chunks
• Nested content included for context

JSON (.json)

• Structure-aware with key/value extraction
• Path-based indexing

Other formats: .yaml, .yml, .toml, .sql, .txt — Keyword search and full-text indexing

Automatically Ignored

node_modules, dist, build, .git, .next, .cache, __pycache__, target, and other common build/dependency directories

Opencode Integration

RAGgrep can be integrated with opencode to provide semantic code search capabilities within the AI coding assistant.

Installation

Install the raggrep tool for opencode:

raggrep opencode install

This creates the tool file at ~/.config/opencode/tool/raggrep.ts.

Usage in Opencode

Once installed, you can search your codebase directly within opencode:

• Search for code using natural language: "user authentication flow"
• Filter by file types and paths
• Get context-aware results with scores and locations

The tool supports all the same search options as the CLI:

• Number of results (top)
• Minimum similarity score (minScore)
• File type filtering (type)
• Path filtering (filter)

Documentation

• Getting Started — Installation options and first steps
• CLI Reference — All commands and options
• SDK Reference — Programmatic API for Node.js/Bun
• Advanced — Configuration, maintenance commands
• Architecture — How RAGgrep works internally

Requirements

• Node.js 18+ or Bun 1.0+
• ~50MB disk space for models (cached at ~/.cache/raggrep/models/)

License

MIT