code-graph-rag
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
Code-Graph-RAG is an accurate Retrieval-Augmented Generation (RAG) system designed for multi-language codebases. It uses Tree-sitter to analyze code, build comprehensive knowledge graphs, and allows natural language querying of codebase structure and relationships. The system also includes advanced editing capabilities, enabling users to modify code directly through natural language prompts.
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Comments
- PPhoenix GarciaMay 10, 2026
Edits informed by the full code graph are more accurate than context-window-limited edits.
- AAlex WilsonMay 4, 2026
Graph RAG for monorepos that handles multi-language codebases is the right approach.
- SSpencer GarciaMay 3, 2026
Good for large monorepos where individual file search misses cross-module context.
- SSam ClarkApr 12, 2026
Query and understand complex codebases through the relationship graph, not just text.