Code Graph RAG FAQs

Question 1

What is Code Graph RAG?

Accepted Answer

Code Graph RAG is an advanced Model Context Protocol (MCP) server that builds intelligent graph representations of your codebase, providing comprehensive semantic analysis and AI-powered insights for multiple programming languages.

Question 2

How does Code Graph RAG enhance code analysis?

Accepted Answer

It performs deep semantic analysis, enabling natural language code search, code similarity detection, impact analysis for changes, AI refactoring suggestions, and cross-language relationship mapping, all 5.5x faster than native Claude tools.

Question 3

What are the performance benefits of using Code Graph RAG?

Accepted Answer

It offers significantly faster execution (5.5x faster than Native Claude tools), optimized memory usage, rapid parsing throughput (100+ files/second), and sub-100ms query response times, powered by a high-performance architecture.

Question 4

What programming languages does Code Graph RAG support?

Accepted Answer

It currently provides full support for Python and TypeScript/JavaScript (including ES6+, JSX, TSX). Support for C/C++ with template analysis is planned for future releases.

Question 5

Can Code Graph RAG integrate with AI assistants like Claude?

Accepted Answer

Yes, it's designed for seamless integration with Claude Desktop via the Model Context Protocol (MCP), allowing you to leverage its advanced analysis capabilities within your AI-powered development workflow.

Code Graph RAG

Code Graph RAG

Key Features

Use Cases

Key Features

Use Cases