HiRAG extends retrieval-augmented generation to the vocal domain — organizing accumulated knowledge from thousands of processed vocals into a hierarchical structure that enables precise and contextually appropriate retrieval.
Three levels: individual vocal profiles (512D representation), processing session records (complete chain of decisions for a specific job), and population-level patterns (aggregate insights across voices sharing similar characteristics).
Every voice that moves through Arisyn makes the system smarter for the next voice. That is the compounding advantage of intelligence infrastructure.