Code-Graph-RAG

Example Use Cases

• 1

  Analyze and query complex multi-language codebases using natural language.

• 2

  Perform AI-powered codebase optimization and refactoring suggestions.

• 3

  Real-time synchronization of codebase structure with ongoing development.

Description

Code-Graph-RAG uses Tree-sitter to parse multi-language codebases and builds comprehensive knowledge graphs stored in Memgraph. It enables natural language querying, AI-powered Cypher query generation, and advanced code editing capabilities. The system supports real-time graph updates and integrates with cloud and local AI models for enhanced codebase understanding and optimization.