Code Graph RAG
Graph-based RAG system that parses multi-language codebases using Tree-sitter, builds knowledge graphs in Memgraph, and enables natural language queries about code structure and relationships. Supports parsing 11+ languages, AI-powered Cypher query generation, surgical code editing with AST targeting, shell command execution, and real-time graph updates via file watching. Includes an MCP server for Claude Code integration.
Best When
You have a large multi-language codebase and want AI-powered structural understanding, natural language code search, and graph-based relationship analysis.
Avoid When
You have a small codebase where grep/IDE search suffices, or you cannot run Docker (required for Memgraph).
Use Cases
- • Natural language querying of large monorepo codebases
- • Understanding code structure, function relationships, and call graphs
- • AI-assisted code navigation and exploration across multiple languages
- • Surgical code editing with AST-aware diff previews
- • Onboarding to unfamiliar codebases by querying architecture semantically
Not For
- • Simple single-file code analysis (overkill)
- • Runtime performance profiling or debugging
- • Non-code document RAG (focused specifically on source code)
Alternatives
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Scores are editorial opinions as of 2026-03-01.