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Ragtoolina
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Introducing Ragtoolina

·Ragtoolina Team

The Problem

AI coding assistants are powerful, but they're expensive. Every time you ask Cursor, Copilot, or Claude Code a question about your codebase, they send thousands of lines of code as context. Most of that context is irrelevant noise — and you're paying for every token.

What Ragtoolina Does

Ragtoolina sits between your codebase and your AI tools. It builds a semantic index of your entire project, so when your AI assistant needs context, it gets exactly the right files and functions — nothing more, nothing less.

The result: 63% fewer tokens on average, with the same quality answers.

How It Works

  1. Index your codebase — Ragtoolina's macOS app scans your project and generates semantic embeddings stored securely in the cloud.
  2. Connect your tools — MCP server integration means Claude Code, Cursor, and other tools can query your index natively.
  3. Ask questions as usual — Your AI assistant automatically gets precise, relevant context instead of raw file dumps.

Key Features

  • Semantic search — Finds code by meaning, not just keywords. Ask "where is authentication handled?" and get the actual auth module, not every file that mentions "auth".
  • Team indexes — Share a single index across your team. Everyone gets the same high-quality context.
  • Integrations — Connect GitHub, Jira, Confluence, and Azure DevOps to index documentation alongside code.
  • Privacy first — We never store your raw source code. Only vector embeddings and file metadata are retained.

Pricing

Ragtoolina is free to get started. The Pro plan at $19/month unlocks unlimited indexes, team features, and integrations. See pricing →

Get Started

Download Ragtoolina for macOS and start saving on your AI coding sessions today. Your first index is ready in minutes.