AgentIR: A Workload-Adaptive Cascade Retrieval Substrate for Long-Term Conversational Memory 事件

AgentIR: A Workload-Adaptive Cascade Retrieval Substrate for Long-Term Conversational Memory arXiv:2605.25092v1 Announce Type: cross Abstract: Long-term conversational memory is a retrieval workload classical IR was not built for: the index grows during the query stream, query types shift intra-session, and the latency budget per retrieval is sub-10 ms. Lucene-class engines treat the index as static and the query as stateless, leaving the workload's structure unexploited. AgentIR treats fusio