Show HN: C/C++ source code graph RAG based on Clang/clangd (github.com)

A new project showcased on HN has developed a Retrieval-Augmented Generation (RAG) system for C/C++ source code, utilizing Neo4j and Clang/clangd. This system enables developers to create a comprehensive graph of their software projects that can be queried for in-depth analysis, facilitating tasks such as understanding call chains, identifying key project modules, and pinpointing potential race conditions. The initiative significantly enhances code comprehension and debugging capabilities by transforming Clangd's raw index data into a semantically rich knowledge graph, enriched with AI-generated summaries and embeddings, enabling large language models (LLMs) to reason about a codebase effectively. Key technical aspects of the project include the automated construction of a dependency graph, robust memory management for large codebases, and intelligent updates that only process changed files through a Git-aware updater. The architecture features an interaction layer where users can engage with the graph via an AI agent, powered by natural language queries to explore the codebase dynamically. This innovative approach not only streamlines software analysis and refactoring but also extends the capabilities of traditional code navigation tools, pushing towards a more intelligent and adaptive development environment.