turbo-index

Semantic codebase search uses QMD embeddings to map repository structure, enabling fast file discovery and reducing exploration token usage during onboarding or significant project changes.

Automated project setup maps repository structure via cartographer and configures QMD embeddings, ensuring new developers can quickly query files and understand project architecture without manual exploration.

Yes, semantic codebase search reduces token usage by implementing QMD embeddings and fast file suggestions, ensuring queries consume fewer tokens during repository exploration and onboarding.

Yes, you can apply codebase indexing to existing projects with significant changes to update the cartographer mapping and QMD embeddings, ensuring semantic search and file suggestions remain accurate.

No, you do not need to manually install dependencies before indexing a codebase; the skill implements automated project setup to install dependencies, configure global settings, and prepare QMD for semantic search.

Automated codebase indexing is not suited for environments where installing dependencies or modifying global configuration is restricted, as it requires setup access to implement cartographer mapping and QMD embeddings.