Combines a knowledge graph with RAG (Retrieval-Augmented Generation) capabilities for semantic code indexing and search. Enables creating entity relationships, managing observations, and performing semantic searches across indexed codebases.
Enables tracing code entities through requirements to strategic goals, surfacing orphan code and allowing query of intent via graph primitives like orphans, trace, and corpus.
Generates and queries a graph representation of a codebase to identify entities and their relationships, such as function calls and inheritance. It supports multiple languages including Python, JavaScript, and Rust to help users navigate and understand complex code structures.
