graphify

To turn a folder into a knowledge graph, point the tool at a directory path. It extracts code ASTs, discovers document entities, and maps cross-document relationships to output an interactive HTML graph, a JSON export, and a detailed audit report.

Codebase visualization maps source files into an interactive graph using AST extraction and relationship clustering. This process groups related code communities together, revealing hidden structural connections and dependencies across the project.

Yes, you can use the generated JSON knowledge graph for GraphRAG applications. The tool outputs a machine-readable JSON graph format specifically structured to support retrieval-augmented generation and downstream analysis.

Codebase visualization works with mixed file types including code, docs, papers, and images. It surfaces nodes, edges, and communities across diverse formats to help you understand unfamiliar research corpora or scattered notes.

The best way to audit codebase relationships across sessions is to generate a persistent knowledge graph. This approach creates an honest, versioned audit trail that maintains provenance and tracks cross-document relationships over time.

No external dependencies are required to generate a knowledge graph from your codebase. You simply drop a folder into the tool or point it at a path, and it independently handles AST extraction and graph generation.