Nine use cases for Jev, from re-ranking to human escalation
A list of nine tasks Jev can perform: re-ranking, tool pruning, model routing, query routing, cache admission and TTL prediction, RAG filtering, human escalation and action selection.
9 use cases for Jev (System 1 Model): - Re-ranking: Score and reorder retrieved results by relevance. - Tool pruning: Drop unused tools during context compaction. - Model routing: Route tasks to small, medium, or large LLMs. - Query routing: Decide between SQL, Vector DB, or Graph DB. - Cache admission: Filter which responses are worth caching. - Cache TTL prediction: Estimate how long cached results stay valid. - RAG retrieval control: Gate irrelevant retrieved documents. - Human escalation: Know when to hand off from AI to a human. - Action selection: Score and pick the best next agent action.