TypeSafe Jev Targets GraphRAG Micro-Decisions

TypeSafe AI released Jev, a non-autoregressive decision model that replaces LLMs for high-frequency graph micro-decisions in GraphRAG pipelines. Jev uses calibrated probability primitives (noul, choice, score) to resolve entities, map schemas, and prune subgraphs with sub-500ms latency, cutting context token bloat by up to 90% while reserving autoregressive LLMs for final answer synthesis.