Beyond RAG: Persistent Neural State Will Replace Vector‑Search Memory
Current Retrieval‑Augmented Generation relies on a costly round‑trip through text embeddings and vector databases because we can’t store raw neural states. As AI moves to edge agents and multi‑process pipelines, latency‑tight, portable memory will demand native state persistence, making RAG a stopgap rather than a long‑term solution.