Quick facts
- Best for
- code-graph-rag - Codebase RAG for Multi-Language Repos
- Pricing
- Free
- Editor rating
- 4.5 / 5
- Community saves
- 0
About code-graph-rag
code-graph-rag is an open-source AI developer tool for codebase RAG and knowledge-graph search across multi-language monorepos. GitHub describes it as The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs. The listing summarizes source-backed setup context, public repository signals, practical use cases, and tradeoffs for builders evaluating whether to run it locally or inside their own workflow.
Pros
- RAG workflow for querying large codebases
- Knowledge-graph layer for code relationships
- Multi-language monorepo understanding
- AI-assisted code search and editing context
- Open-source Python implementation
- GitHub-hosted project with active repository metadata
Cons
Pricing
Open source
$0
- • Source code available on GitHub
- • No listed SaaS subscription for the repository
- • Users pay for their own compute, model APIs, hosting, or hardware