Level 3 uses semantic vector search (via MemSearch plugin from Zilliz) to chunk documents into semantic vectors, allowing search to understand meaning behind questions and stored information rather than relying on keyword matching, with automatic injection of top 3 semantic matches into every prompt via a user-prompt-submit hook.