Code Graph is a visual tool that represents a codebase as a Knowledge Graph, helping developers understand complex code structures by mapping relationships between code entities like functions, variables, and classes. Incorporating Knowledge Graphs and Large Language Models (LLMs), Code Graphs enhance code analysis by improving understanding, impact analysis, autocompletion, and code search. The advent of modern Knowledge Graph databases, such as FalkorDB, enables efficient storage, querying, and visualization of large-scale code graphs, empowering developers to interact with their codebases through natural language queries. The use of Retrieval-Augmented Generation (RAG) architecture, which combines retrieval and generative models, allows developers to pose natural language questions and receive insights without mastering complex query languages. Knowledge Graphs offer advantages over Vector Databases by capturing structured relationships and supporting complex reasoning, making them ideal for building RAG-powered Code Graphs. Tools like FalkorDB facilitate the creation, visualization, and querying of Code Graphs, making it easier for developers to explore, understand, and maintain complex software projects.