Graphify: A Python tool converting codebases into knowledge graphs for AI assistants
Graphify-Labs/graphify has trended heavily on GitHub, gaining over 8,500 stars in a single week. The Python-based tool converts heterogeneous codebase assets, database schemas, and documentation into a unified, queryable knowledge graph designed for AI coding assistants. By unifying application code, database schemas, and infrastructure into a single graph, Graphify helps AI coding assistants better understand complex project contexts. This addresses a major bottleneck in AI-assisted development, where models often struggle to connect disparate parts of a codebase. The tool supports a wide range of inputs, including SQL schemas, R and shell scripts, documentation, papers, images, and videos. It integrates with popular AI coding assistants such as Claude Code, Codex, OpenCode, Cursor, and Gemini CLI.
## BACKGROUND
Traditional Retrieval-Augmented Generation (RAG) helps Large Language Models (LLMs) access external data to reduce hallucinations and provide accurate answers. GraphRAG builds on this by using knowledge graphs to capture complex relationships and hierarchies within the data, which is particularly useful for understanding structured codebases.