Project Overview
code-graph-rag is an open-source RAG (Retrieval-Augmented Generation) system designed for complex, multi-language monorepos. It combines knowledge graphs with large language models to provide natural language querying, deep code comprehension, and editing capabilities, helping developers navigate and manage large codebases effectively.
Core Features
- Uses knowledge graphs to organize code structure, enabling efficient retrieval.
- Integrates LLMs to support natural language interaction.
- Supports cross-language code understanding, ideal for multi-language monorepos.
- Offers code editing capabilities to assist developers in modifications.
Technology Stack
The primary programming language is Python.
License
The project is released under the MIT License.
Community and Status
As of collection time, the project has 2,333 stars on GitHub (this number is a snapshot and may vary over time).










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