This system converts various data formats such as PDFs, markdown files, and raw text into comprehensive, lineage-aware knowledge graphs that support advanced semantic queries. Its primary features include multiple retrieval modes like local, global, hybrid, naive, and graph-aware searching, all optimized for high-performance, scalable operation within a Rust-based environment on PostgreSQL, solving issues related to fragile Python pipelines, opaque retrieval behaviors, and slow processing at scale, making it ideal for data scientists, knowledge engineers, and teams requiring precise, grounded, and relationship-aware knowledge retrieval across large, complex datasets.