PrecisionMemBench

AI memory systems for LLM agents fail at scale due to structural precision problems in similarity search, not incidental issues. Testing across three embedding models showed mean retrieval precision o…

A new benchmark, PrecisionMemBench, reveals that vector-based memory systems fail at maintaining accurate, noise-free retrieval for large language models across multi-turn sessions. The benchmark test…